-
Notifications
You must be signed in to change notification settings - Fork 33
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
Unable to initialize backend 'gpu' #8
Comments
Does the NVIDIA CUDA driver install successfully? |
I have the same issue, even I can run it in CPU. I installed nvidia-455 and cuda 11.1 |
Yes, I am sure that I have successfully installed the NVIDIA CUDA driver, because after that I installed the alphafold2 docker version given by Deep Mind, and it can run successfully, and this warning will not be reported. Before that, I also use anaconda to run other deep learning tasks and there is no problem at all. GPUs will all be used. In order to confirm the problem, I compared the same target such as T1050. The docker version of alpahafold only takes about 3 hours, and the anaconda you gave The version is well over 3 hours.
----------------
---------- Origin message ----------
From:"Gustavol Enrique Olivos Ramirez" ***@***.***>
To:"kuixu/alphafold" ***@***.***>
Subject:Re: [kuixu/alphafold] Unable to initialize backend 'gpu' (#8)
Date:2021-08-26 12:34:52I have the same issue, even I can run it in CPU.
I installed nvidia-455 and cuda 11.1
…--
You are receiving this because you authored the thread.
Reply to this email directly or view it on GitHub:
#8 (comment)
|
same problem... I1108 16:51:57.959832 139635007661120 xla_bridge.py:231] Unable to initialize backend 'tpu_driver': NOT_FOUND: Unable to find driver in registry given worker: +-----------------------------------------------------------------------------+ +-----------------------------------------------------------------------------+ |
Hi guys, |
Trying to install alphafold on various platform (including AWS) since 2 months : I always fall on that bug which is frequent but not addressed. |
I'm facing the same issue. Before running the |
Hello,I have follow you readme to install the anaconda environment,and it can run with cpu ,but it can not run with gpu ,and in my devices have a nvidia RTX TITAN GPU with 24G momeory ,when I whatever use
bash python3 run_alphafold.py --fasta_paths=T1050.fasta --max_template_date=2020-05-14# or simply exp/run_local.sh T1050.fasta
it warning with I0820 16:00:20.270564 140257858221888 xla_bridge.py:212] Unable to initialize backend 'tpu_driver': Not found: Unable to find driver in registry given worker: local://I0820 16:00:20.281177 140257858221888 xla_bridge.py:212] Unable to initialize backend 'gpu': Not found: Could not find registered platform with name: "cuda". Available platform names are: Interpreter Host
I0820 16:00:20.281787 140257858221888 xla_bridge.py:212] Unable to initialize backend 'tpu': Invalid argument: TpuPlatform is not available.
W0820 16:00:20.282057 140257858221888 xla_bridge.py:215] No GPU/TPU found, falling back to CPU. (Set TF_CPP_MIN_LOG_LEVEL=0 and rerun for more info.)
I feel it like run only with cpu ,and it only use 315MiB GPU Momory when I try to input nvidia-smi to look how much GPU memory use.
The text was updated successfully, but these errors were encountered: