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instructions on how to successfully build spconv 1.0 #152
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@MartinHahner88 Thank you for the detailed instruction~ |
This method is easy to work, good job. |
These instructions do not work. I still have the same problem as described here: open-mmlab/OpenPCDet#187 (comment) |
Hello. Is there any way to do this in Google Colab? I tried but am unable to. Please let me know, thanks! |
@sarimmehdi
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Hi @traveller59 and i have built spconv following your instructions successfully. i use P.S.: Here is my env. info Sincerely looking forward for your reply.:) |
After
Otherwise you will work with the latest commit on the master branch instead with commit 8da6f96 (spconv 1.0).
I did not specify CUDA 9.0, but CUDA 9.2, I don't know if you can successfully build spconv 1.0 with CUDA 10.2. |
Thank you for your reply @MartinHahner As you adviced,
finally, i successfully build spconv 1.0 with CUDA 10.2. i still wonder why when creating conda env, it automatically install cuda toolkit and cudnn. |
It says
so, try to run |
I have currently the V9.2 |
Problem solved. |
how? |
I was missing cmake in my computer. The instructions were great! Thanks! |
@MartinHahner , thanks for your instructions! I install |
maybe thread #78 can help |
Problem solved. I changed the |
thanks for your effort I do this way today. but I can not install v1.0 so can you give me some tip? Sorry |
Hello, -- Autodetected CUDA architecture(s): 7.5 |
I just commented out "#include <THC/THCNumerics.cuh>" where you got error (spconv/include/spconv/reordering.cu.h)
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Make sure you are running the following commands on a host with a Pascal GPU.
(Newer architectures probably also works.)
Test spconv via:
python -c 'import spconv'
(should just return and not raise any errors)
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