errors with cuda ops installation

[dvschultz]

tested on a fresh Colab V100 and P100

[dvschultz]

fixed by installing ninja. Might recommend adding that to the readme as a requirement

[woctezuma]

I have encountered the same issue on Colab, and your fix works!

%pip install ninja

[nurpax]

@dvschultz Thanks for the report! README.md will be updated.

[futscdav]

Also note that nvcc doesn't work with new gcc, so if you have system default gcc > 8, pytorch will honor the CC env variable, do
export CC=g++-8
before you run any scripts that would build the cuda kernels.

[tasinislam21]

I did install ninja but then I got -> OMP: Error #15: Initializing libiomp5md.dll, but found libiomp5md.dll already initialized. This is happened during evaluating the metrics.

[TheodoreGalanos]

Still getting this error on a vast.ai VM with pytorch 1.7.1 and cuda 11 installed. I installed all required packages but whatever I try I keep getting the errors when trying to compile the custom cuda ops.

Is there perhaps a guide for Linux and ada-pytorch? It seems to be that it should work out of the box, but unfortunately it does not.

p.s. I have already made it work in windows by installing vc2019 and cuda 11. Would love to make it run on the VM so that I can train larger models.

[wuyuyu1024]

Having same error. I'm on win10 with RTX-3070 GPU and torch 1.7.1+cu110. I also installed required packages and deleted torch_extensions.
Here is my log:
log.txt
Anyone could help me? 🙏

[gokhanbaydar]

If still not working try installing Windows 10 SDK, I had the same problem, installed Windows 10 SDK and now its working fine.

[Dhruva-Storz]

still have this issue on linux with CUDA 11.0 after installing ninja, is there a specific version of ninja we need to install? I have the same error on both conda and pip (after pasting the line in the README)

[nurpax]

The original poster in this bug filed this for Colab. Not sure what @Dhruva-Storz is running on.

Try changing this line to get more details about what could be going wrong:

verbosity = 'brief' # Verbosity level: 'none', 'brief', 'full'

to

verbosity = 'full'

and check if you get anything relevant in the log.

Remember to completely remove your torch extensions dir (search for TORCH_EXTENSIONS_DIR on https://pytorch.org/docs/stable/cpp_extension.html for details) when re-running the code.

Usually this is a matter of CUDA SDK (the one you have to install yourself, not the pytorch bundled cuda toolkit) not being installed properly, or there being multiple versions of it and some old or otherwise incompatible version gets used when building our custom extensions.