RuntimeError: Not compiled with GPU support about textfusenet HOT 5 CLOSED

@dhirajsuvarna
When you compile TextFuseNet(or detectron2), it's necessary to compile with cuda and make sure your cuda and pytorch match.

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@Real-YeJ ,
I did some searching into this error and it seems that CUDA_HOME env variable is not set.

When you say compile with cuda do I need to do anything other than the steps mentioned in step-by-step installation.txt?
I guess this conda install pytorch=1.3.1 torchvision cudatoolkit=10.1 -c pytorch installs the required cuda toolkit.

Is any other separate installation of cuda is required? or do I need to pass any compile time parameters? or any other steps that needs to be taken?

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@dhirajsuvarna don't need other additional steps，just make sure your cuda version is match with pytorch version. more details facebookresearch/detectron2#55

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Here are the versions of the the packages installed. Those seem to be in sync.

I manually added CUDA_HOME into my env point it to the folder shown below

sadly still facing the error.

Do you think my CUDA_HOME is pointing to the correct location? or should it be pointing to one of the three folders inside?

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@dhirajsuvarna check the version of your cuda, and I suggest that compile on linux instead of windows.

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