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ERROR: Could not build wheels for cppcuda-tutorial, which is required to install pyproject.toml-based projects #5

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atomishcv opened this issue Dec 26, 2023 · 7 comments

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@atomishcv
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when i run the 'pip install .', it will report 'ERROR: Could not build wheels for cppcuda-tutorial, which is required to install pyproject.toml-based projects'.
my platform is windows+pytorch 1.12.1+cuda 11.3+py3.8.
Is it because the compilation of windows is different from that of linux?
image

@atomishcv
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i have install the VS tool ,visual studio 2015

@sugerkiller
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I also encountered the same problem, did you solve it?

@s1jeai
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s1jeai commented Feb 3, 2024

@atomishcv I also encountered this problem. Have you solved it?

@sugerkiller
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@huangshijie2 I think this link will be helpful to you graphdeco-inria/gaussian-splatting#535 (comment)
The content is as follows:

It it fails to install the submodules, using either of these commands will solve the issue; choose the one according to the Visual Studio you installed
VS 2022: conda install -c conda-forge vs2022_win-64
VS 2019: conda install -c conda-forge vs2019_win-64

@s1jeai
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s1jeai commented Feb 4, 2024

@huangshijie2 I think this link will be helpful to you graphdeco-inria/gaussian-splatting#535 (comment) The content is as follows:

It it fails to install the submodules, using either of these commands will solve the issue; choose the one according to the Visual Studio you installed VS 2022: conda install -c conda-forge vs2022_win-64 VS 2019: conda install -c conda-forge vs2019_win-64

Sorry, I can't solve it yet due to my os is Linux 22.04, have any other solution?

@sugerkiller
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You can check out the comments in this link:graphdeco-inria/gaussian-splatting#535, it might be useful for ubuntu22.04

@s1jeai
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s1jeai commented Feb 5, 2024

You can check out the comments in this link:graphdeco-inria/gaussian-splatting#535, it might be useful for ubuntu22.04

Thank you.It's strange that I can't pip install setup.py at this example but can run at other simular pytorch-cuda example link: https://github.com/godweiyang/NN-CUDA-Example at the same env and settings.

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