-
Notifications
You must be signed in to change notification settings - Fork 132
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
is there a standard procedure to make tapir run inference on gpu/ubuntu22.04 #45
Comments
I've been running on ubuntu 20.04. I wasn't able to make it work using the nvidia drivers and cuda that are distributed with ubuntu; I needed to uninstall these and install nvidia's versions of the driver, CUDA, and CUDNN which match the JAX version. However, after installing, CUDA wasn't on my PATH (IIRC I did get a similar error message about failing to load PTX as a result). I found that I have no idea if this is your issue, however. You might be better off posting this question on the JAX github. |
have you solved your problem? if you solved, could you please show the resolution? |
@xbowlove
After this followed the rest step mentioned in the REAME file to run the live demo. |
thanks for your answer. but I occur the following error when 'from jaxline import platform' after finishing all the steps you offered. |
Hi everyone,
i find it really hard to get tapir to run on gpu, is there a standard procedure to do this?
the thing i do/try is: (after i create a new conda environment)
pip install --upgrade "jax[cuda12_pip]" -f https://storage.googleapis.com/jax-releases/jax_cuda_releases.html (for jax/cuda/cudnn installation i suppose)
pip install requirements_inference.txt
and the following error pops out
jaxlib.xla_extension.XlaRuntimeError: INTERNAL: Failed to execute XLA Runtime executable: run time error: custom call 'xla.gpu.func.launch' failed: Failed to load PTX text as a module: CUDA_ERROR_INVALID_IMAGE: device kernel image is invalid; current tracing scope: fusion; current profiling annotation: XlaModule:#hlo_module=jit__threefry_seed,program_id=0#.
note that using only cpu version of this wouldn't hurt (simply pip install requirement_inference.txt)
could someone state your standard procedure for making it work? much thanks
The text was updated successfully, but these errors were encountered: