Closed meghalD closed 1 year ago
can you let me know what software you are using on your linux machine, ie ubuntu 20.04 LTS?, etc?
I tried it on two different GPU Servers as below:
Server 1: NAME="Ubuntu" VERSION="18.04.6 LTS (Bionic Beaver)" ID=ubuntu ID_LIKE=debian PRETTY_NAME="Ubuntu 18.04.6 LTS" VERSION_ID="18.04" HOME_URL="https://www.ubuntu.com/" SUPPORT_URL="https://help.ubuntu.com/" BUG_REPORT_URL="https://bugs.launchpad.net/ubuntu/" PRIVACY_POLICY_URL="https://www.ubuntu.com/legal/terms-and-policies/privacy-policy" VERSION_CODENAME=bionic UBUNTU_CODENAME=bionic
Server 2: NAME="Rocky Linux" VERSION="9.0 (Blue Onyx)" ID="rocky" ID_LIKE="rhel centos fedora" VERSION_ID="9.0" PLATFORM_ID="platform:el9" PRETTY_NAME="Rocky Linux 9.0 (Blue Onyx)" ANSI_COLOR="0;32" LOGO="fedora-logo-icon" CPE_NAME="cpe:/o:rocky:rocky:9::baseos" HOME_URL="https://rockylinux.org/" BUG_REPORT_URL="https://bugs.rockylinux.org/" ROCKY_SUPPORT_PRODUCT="Rocky-Linux-9" ROCKY_SUPPORT_PRODUCT_VERSION="9.0" REDHAT_SUPPORT_PRODUCT="Rocky Linux" REDHAT_SUPPORT_PRODUCT_VERSION="9.0"
Are you trying to use the DLC GUI, or a server? Server you are likely headless, so you can jsut install pip install deeplabcut[tf]
but to solve the other issue, which is related to GUIs, please see: https://github.com/DeepLabCut/DeepLabCut/issues/2167
Is there an existing issue for this?
Bug description
Hi, I created the conda environment using the .yaml file as instructed on my linux machine, but everytime I get this error when trying to run:
import deeplabcut
orpython -m deeplabcut
full trace of the error: 2023-05-28 18:41:02.629205: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 AVX512F AVX512_VNNI FMA To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags. 2023-05-28 18:41:02.812836: I tensorflow/core/util/util.cc:169] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable
from PySide6.QtCore import version as QT_VERSION # analysis:ignore
ImportError: /lib/x86_64-linux-gnu/libc.so.6: version `GLIBC_2.28' not found (required by /shared-local/mdani31/anaconda3/envs/DEEPLABCUT/lib/python3.8/site-packages/PySide6/Qt/lib/libQt6Core.so.6)
TF_ENABLE_ONEDNN_OPTS=0
. 2023-05-28 18:41:02.819838: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcudart.so.11.0'; dlerror: libcudart.so.11.0: cannot open shared object file: No such file or directory 2023-05-28 18:41:02.819864: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine. 2023-05-28 18:41:02.856951: E tensorflow/stream_executor/cuda/cuda_blas.cc:2981] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered 2023-05-28 18:41:03.569152: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libnvinfer.so.7'; dlerror: libnvinfer.so.7: cannot open shared object file: No such file or directory 2023-05-28 18:41:03.569229: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libnvinfer_plugin.so.7'; dlerror: libnvinfer_plugin.so.7: cannot open shared object file: No such file or directory 2023-05-28 18:41:03.569246: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Cannot dlopen some TensorRT libraries. If you would like to use Nvidia GPU with TensorRT, please make sure the missing libraries mentioned above are installed properly. Loading DLC 2.3.4... Traceback (most recent call last): File "/shared-local/mdani31/anaconda3/envs/DEEPLABCUT/lib/python3.8/site-packages/qtpy/init.py", line 253, inDuring handling of the above exception, another exception occurred:
Traceback (most recent call last): File "/shared-local/mdani31/anaconda3/envs/DEEPLABCUT/lib/python3.8/runpy.py", line 185, in _run_module_as_main mod_name, mod_spec, code = _get_module_details(mod_name, _Error) File "/shared-local/mdani31/anaconda3/envs/DEEPLABCUT/lib/python3.8/runpy.py", line 144, in _get_module_details return _get_module_details(pkg_main_name, error) File "/shared-local/mdani31/anaconda3/envs/DEEPLABCUT/lib/python3.8/runpy.py", line 111, in _get_module_details import(pkg_name) File "/home/mdani31/akata-shared/mdani31/DeepLabCut/deeplabcut/init.py", line 25, in
from deeplabcut.gui.tracklet_toolbox import refine_tracklets
File "/home/mdani31/akata-shared/mdani31/DeepLabCut/deeplabcut/gui/init.py", line 15, in
import qtpy # Necessary unused import to properly store the env variable
File "/shared-local/mdani31/anaconda3/envs/DEEPLABCUT/lib/python3.8/site-packages/qtpy/init.py", line 259, in
raise QtBindingsNotFoundError()
qtpy.QtBindingsNotFoundError: No Qt bindings could be found
Operating System
Linux
DeepLabCut version
error in importing and running GUI as mentioned in bug description
DeepLabCut mode
single animal
Device type
NVIDIA-SMI 515.105.01
Steps To Reproduce
No response
Relevant log output
Anything else?
I did the following:
I saw the error originates from TF initially, but that works fine separately Then updated qtpy and Pyside6 libraries. The import works fine apart from
import PySide6.QtCore
I printed thestrings /lib/x86_64-linux-gnu/libc.so.6 | grep GLIBC
(but the error in the log always gives the higher version my system does not have; I tried to run on multiple servers and get the same issue).GLIBC_2.2.5 GLIBC_2.2.6 GLIBC_2.3 GLIBC_2.3.2 GLIBC_2.3.3 GLIBC_2.3.4 GLIBC_2.4 GLIBC_2.5 GLIBC_2.6 GLIBC_2.7 GLIBC_2.8 GLIBC_2.9 GLIBC_2.10 GLIBC_2.11 GLIBC_2.12 GLIBC_2.13 GLIBC_2.14 GLIBC_2.15 GLIBC_2.16 GLIBC_2.17 GLIBC_2.18 GLIBC_2.22 GLIBC_2.23 GLIBC_2.24 GLIBC_2.25 GLIBC_2.26 GLIBC_2.27 GLIBC_PRIVATE
Note: I do not have sudo permission for the cluster.
Code of Conduct