Fail to install.

[SkyeFromKindergarten]

Hi~ I find this work really will solve my problem.But I failed when installing.

When I use pip to install, it comes up like below.

When I install with source code, it comes nvcc fatal
nvcc fatal : Unsupported gpu architecture 'compute_75' error: command '/usr/local/cuda-9.0/bin/nvcc' failed with exit status 1
But Im sure my cuda works fine. Can you please tell me where it maybe wrong?

System information: Ubuntu 16.04 python3.6 pytorch1.3

[WhynotBicycle]

The same issue, what I currently know is I have 'fatal error: ATen/ATen.h: No such file or directory' when run the chamferdist.cu independently. It means I don't have ATen though my PyTorch is 1.4.0.

I'm trying to reinstall PyTorch from source now.

[krrish94]

Could you check torch.cuda.is_available() first? If you're able to run pytorch code on CUDA, then a fix of this sort could help (See NVIDIAGameWorks/kaolin#31 (comment))

Also, curious: what GPU archs are you using? Newer RTX 2080Ti etc? (I'm looking to update the package to suit those archs)

[hugovergnes]

Same problem here.
Sure my cuda works fine, and torch.cuda.is_available() returns True.
I installed it with pip, but even though it's in my conda environment (conda list).
I cannot import it.

[krrish94]

I tried reinstalling this today (PyTorch 1.6) and it works fine. Closing for now, but feel free to reopen this if anything.

[toobaimt]

Exactly the same issue installing on Windows10, python 3.8, pytorch 1.6