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VS2017 Cuda 9.1 #19
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@adammpolak : what VS2017 version do you use?? I try to build Bundlefusion using VS2017 with Cuda 9.1 but fail. I meet two problem but I can only fix one of them. the first is the latest VS2017 compile error. It can be solve by modify the vcxproj settings to add follow below: and also modify the CUDA settings type host_config.h to set _MSC_VER > 1912 like below: https://devtalk.nvidia.com/default/topic/1022887/cuda-not-working-with-vs-2017-update-/ After do those procedure, I only have one compile error on IDE: the C2280 error: attempting to reference a deleted function in D3D11Canvas3D.h. The D3D11Canvas3D.h is the mLib I download from here: https://github.com/niessner/mLib/issues Is I using wrong version mLib cause these error? I have no idea how to fix it... |
@rayhero how have you set up your mLib in your hierarchy?
Use that ^ from: #10 (comment) |
@adammpolak Yes, I did. I follow your advise: But I still stuck in C2280 error...I search related reason show that some old project build by VS2013 will have similar problem in VS 2015/VS2017. How can you success build in VS2017 with CUDA9.1? |
Finally I let the build successful by roll back to VS2013 + CUDA8... |
Hi @adammpolak, I've managed to compile with CUDA 9.1 and VS 2017 as you've described. Thank you! Can you assist with that? |
Have you edited the z files?
On Fri, Feb 23, 2018 at 6:34 PM guyrap ***@***.***> wrote:
Hi @adammpolak <https://github.com/adammpolak>, I've managed to compile
with CUDA 9.1 and VS 2017 as you've described. Thank you!
Nevertheless, when I run the code, with the copyroom.sens data, for
example, I'm getting the following runtime error:
CUDASolverBundling.cpp(135) : cutilcheckmsg() CUTIL DATA error :
CUDASolverBundling::CUDASolverBundling : (13) invalid device symbol
Can you assist with that?
BTW, I've also compiled it successfully with CUDA 7 and VS 2013 and the
same error appeared.
Thank you, Guy
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Hi Adam, I did updated the z files according to previous posts: I've also reduced the number of images to decrease memory footprint and adjusted the subMapSize accordingly: Best, |
@guyrap hey sorry were you able to resolve your issue? |
Hi @adammpolak, actually I've managed to resolve the issue by changing CUDA code generation flags to compute_30,sm_30 (I have a slightly older GPU). It has been running smoothly since then. Thank you! Guy |
@rayhero , Hello, I also meet C2280 error , and I use mLib to build the bundlefusion project by VS2015 + CUDA9.1. Could you tell me how to rebuild the libraries from mLibExternal ? Thank you ! |
@adammpolak 1. I try to compile the bundle fusion project using VS 2017 and got the following error, 2.And also I tried with the new mlib using VS 2017 but got the following error, I have followed your steps to compile the bundle fusion project using VS 2017 ,Could you please give me some suggestion on how to solve this issue Thankyou |
@rayhero @adammpolak @94zhaofang @guyrap Hi, Anybody successfully compiled Bundle Fusion with VS 2017 |
Not sure if this is the right place to leave this info but I was able to compile in VS2017 with Cuda 9.1
If you want to run VS2017 with Cuda 9.1
If you want to run in debug mode
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