Closed zigavicic closed 1 year ago
Hello,
Have you tried the docker builds?
https://github.com/Psy-Fer/deeplexicon#docker-images
When we released this, tensorflow and cuda were going through some growing pains, so yea there are some compatibility issues that are tricky to sort out. Hopefully the docker images help you get what you need.
Let me know if they aren't working or won't work for your needs.
James
The HPC I am working with doesn't allow for Docker installation so I was hoping there'd be a way to go around that.
Hey,
try with tensorflow 1.13.1
python3 -m venv ~/src/venv/deeplexicon-gpu
source ~/src/venv/deeplexicon-gpu/bin/activate
pip install h5py==2.10 Keras==2.2.4 Pandas PyTs==0.8.0 Scikit-learn numba==0.53 TensorFlow-gpu==1.13.1
What are the CUDA and CuDNN versions you use in this environment and how did you install those?
Cuda 10.0 and cuDNN 7.6
And to install, that depends on the system.
Used singularity to import and run the docker image and get the same error as from my own environment.
Input command:
singularity run ../deeplexicon_1.2.0-gpu.sif deeplexicon_multi.py
Output error:
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/tensorflow/python/pywrap_tensorflow.py", line 58, in <module>
from tensorflow.python.pywrap_tensorflow_internal import *
File "/usr/local/lib/python3.7/site-packages/tensorflow/python/pywrap_tensorflow_internal.py", line 28, in <module>
_pywrap_tensorflow_internal = swig_import_helper()
File "/usr/local/lib/python3.7/site-packages/tensorflow/python/pywrap_tensorflow_internal.py", line 24, in swig_import_helper
_mod = imp.load_module('_pywrap_tensorflow_internal', fp, pathname, description)
File "/usr/local/lib/python3.7/imp.py", line 242, in load_module
return load_dynamic(name, filename, file)
File "/usr/local/lib/python3.7/imp.py", line 342, in load_dynamic
return _load(spec)
ImportError: libcuda.so.1: cannot open shared object file: No such file or directory
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/deeplexicon/deeplexicon_multi.py", line 4, in <module>
from deeplexicon_sub import *
File "/deeplexicon/deeplexicon_sub.py", line 21, in <module>
import tensorflow as tf
File "/usr/local/lib/python3.7/site-packages/tensorflow/__init__.py", line 24, in <module>
from tensorflow.python import pywrap_tensorflow # pylint: disable=unused-import
File "/usr/local/lib/python3.7/site-packages/tensorflow/python/__init__.py", line 49, in <module>
from tensorflow.python import pywrap_tensorflow
File "/usr/local/lib/python3.7/site-packages/tensorflow/python/pywrap_tensorflow.py", line 74, in <module>
raise ImportError(msg)
ImportError: Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/tensorflow/python/pywrap_tensorflow.py", line 58, in <module>
from tensorflow.python.pywrap_tensorflow_internal import *
File "/usr/local/lib/python3.7/site-packages/tensorflow/python/pywrap_tensorflow_internal.py", line 28, in <module>
_pywrap_tensorflow_internal = swig_import_helper()
File "/usr/local/lib/python3.7/site-packages/tensorflow/python/pywrap_tensorflow_internal.py", line 24, in swig_import_helper
_mod = imp.load_module('_pywrap_tensorflow_internal', fp, pathname, description)
File "/usr/local/lib/python3.7/imp.py", line 242, in load_module
return load_dynamic(name, filename, file)
File "/usr/local/lib/python3.7/imp.py", line 342, in load_dynamic
return _load(spec)
ImportError: libcuda.so.1: cannot open shared object file: No such file or directory
Failed to load the native TensorFlow runtime.
See https://www.tensorflow.org/install/errors
for some common reasons and solutions. Include the entire stack trace
above this error message when asking for help.
You can also use DeePlexicon that is embedded inside Nextflow workflow in MasterOfPores: https://github.com/biocorecrg/master_of_pores That should solve all your environment issues :)
also which singularity version are you using?
I have since resolved this issue, in my case it seemed the Docker image ran using singularity didn't contain CUDA and cudatoolkit dependencies so after installing those it works fine.
Hi,
so I am running into a lot of dependency issues trying to create a conda environment for using deeplexicon in GPU mode and was wondering if you could provide a tested requirements file for this. Even in the README.md there seem to be some conflicts as CuDNN v7.6 isn't compatible with tensorflow-1.14.
Any help would be much appreciated!