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Install Problem #13
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Can you post the error messages? Usually the problem is caused by cuda and pytorch version mismatch. The codes can be compiled under both cuda 10 or cuda 11. Please make sure use the pytorch version is matched cuda version. |
Hi, thanks for repy. I checked the environment following your idea. I found on my Linux machine, I used torch1.10+cu11.1 while the CUDA version is 11.2. I will reinstall torch and try again to see whether it works. For the windows system, I finally successfully installed the module. First, just like Tang said, we need to check consistency of CUDA and torch version. Second, for anyone using windows and met the problem: |
Hi, my torch version is 2.0.1 and my CUDA is 11.8.0, which are consistent, and I also changed the "long" type to "int64_t", but I am still getting errors on Windows: ninja: build stopped: subcommand failed. Traceback (most recent call last): Do you know how to solve these? |
Hi! Appreciated for your work.
Could you provide the environment required to install quadtreeattention module?
I came up with compile errors on both linux and windows system. I have different conda environments including torch1.10 and torch 1.8 (cu11.1), but all envs met different compile problems. Not sure what's the reason.
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