Open erdaqorri opened 1 year ago
Hi Alexa,
I had the very same problem. I was able to solve it like this:
conda activate parafold
conda install -c nvidia cuda-nvcc=11.3
This installs some missing utilities, one of which is ptxas
.
Regards, Hermann
Hi Hermann,
Thank you for your reply! I have just installed the version of cuda you mentioned. I am waiting for the job to run. I will most likely provide a follow up comment in case it works (for future users).
Cheers, Alexa
@hermannschwaerzlerUIBK
I also struggled to make the singularity image work for about 2 months. However, only two weeks ago I managed to successfully run in our HPC using the nondocker version (https://github.com/kalininalab/alphafold_non_docker). It is very easy to set up, it seems stable, and it works both on CPU and gpu partitions for me.
P.S it is not the 2.3.2 version but the 2.3.1
I hope this helps, feel free to ask if you need some suggestions.
Cheers, Alexa
Hi, Thank you for developing Parafold.
I successfully ran the CPU part using the script you provided, however when I try to run the GPU part I get the error attached to the file here. This is the script that I am using to submit the job to the cluster.
!/bin/bash
SBATCH --job-name=parafold_gpu # Remove the file extension from the input filename
SBATCH --output=parafold_gpu.out # Remove the file extension from the input filename
SBATCH --nodes=1
SBATCH --cpus-per-task=8
SBATCH --mem=80GB
SBATCH --partition=gpu
SBATCH --gres=gpu:1
./run_alphafold.sh \ -d /home/p_af2qe/monomer_af2_db \ -o output \ -m model_1,model_2,model_3,model_4,model_5 \ -p monomer_ptm \ -i /home/p_af2qe/ParallelFold/input/mono_set1/GA98.fasta \ -t 1800-01-01 \
Thank you for your help!
Alexa
parafold_gpu_part_err.txt