[Bug]version libcudnn_ops_infer.so.8 not defined in file libcudnn_ops_infer.so.8

[dentistfrankchen]

Now I am using Amazon sagemaker to do some work related to video. The cpu version of glib is kind of laggy so I decided to compile gpu version of glib. I cloned glib from github by git clone https://github.com/davisking/dlib.git and used python setup.py install with no other changes. The compile process seemed fine and I got glib installed.
Here's my compiling process. It seems to be normal:
python setup.py install
running install
/home/ec2-user/anaconda3/envs/art_intel/lib/python3.9/site-packages/setuptools/command/install.py:34: SetuptoolsDeprecationWarning: setup.py install is deprecated. Use build and pip and other standards-based tools.
warnings.warn(
/home/ec2-user/anaconda3/envs/art_intel/lib/python3.9/site-packages/setuptools/command/easy_install.py:144: EasyInstallDeprecationWarning: easy_install command is deprecated. Use build and pip and other standards-based tools.
warnings.warn(
running bdist_egg
running egg_info
creating tools/python/dlib.egg-info
writing tools/python/dlib.egg-info/PKG-INFO
writing dependency_links to tools/python/dlib.egg-info/dependency_links.txt
writing top-level names to tools/python/dlib.egg-info/top_level.txt
writing manifest file 'tools/python/dlib.egg-info/SOURCES.txt'
reading manifest file 'tools/python/dlib.egg-info/SOURCES.txt'
reading manifest template 'MANIFEST.in'
no previously-included directories found matching 'tools/python/build*'
no previously-included directories found matching 'dlib/cmake_utils//build'
warning: no previously-included files matching '*.pyc' found anywhere in distribution
adding license file 'LICENSE.txt'
writing manifest file 'tools/python/dlib.egg-info/SOURCES.txt'
installing library code to build/bdist.linux-x86_64/egg
running install_lib
running build_py
running build_ext
Building extension for Python 3.9.15 | packaged by conda-forge | (main, Nov 22 2022, 15:55:03)
Invoking CMake setup: 'cmake /home/ec2-user/SageMaker/users/install dlib with cuda/dlib/tools/python -DCMAKE_LIBRARY_OUTPUT_DIRECTORY=/home/ec2-user/SageMaker/users/install dlib with cuda/dlib/build/lib.linux-x86_64-cpython-39 -DPYTHON_EXECUTABLE=/home/ec2-user/anaconda3/envs/JupyterSystemEnv/bin/python -DCMAKE_BUILD_TYPE=Release'
-- The C compiler identification is GNU 7.3.1
-- The CXX compiler identification is GNU 7.3.1
-- Detecting C compiler ABI info
-- Detecting C compiler ABI info - done
-- Check for working C compiler: /usr/bin/cc - skipped
-- Detecting C compile features
-- Detecting C compile features - done
-- Detecting CXX compiler ABI info
-- Detecting CXX compiler ABI info - done
-- Check for working CXX compiler: /usr/bin/c++ - skipped
-- Detecting CXX compile features
-- Detecting CXX compile features - done
-- pybind11 v2.10.0
-- Found PythonInterp: /home/ec2-user/anaconda3/envs/JupyterSystemEnv/bin/python (found suitable version "3.9.15", minimum required is "3.6")
-- Found PythonLibs: /home/ec2-user/anaconda3/envs/art_intel/lib/libpython3.9.so
-- Performing Test HAS_FLTO
-- Performing Test HAS_FLTO - Success
-- Using CMake version: 3.24.2
-- Compiling dlib version: 19.24.99
-- SSE4 instructions can be executed by the host processor.
-- AVX instructions can be executed by the host processor.
-- Enabling AVX instructions
-- Performing Test CMAKE_HAVE_LIBC_PTHREAD
-- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Failed
-- Looking for pthread_create in pthreads
-- Looking for pthread_create in pthreads - not found
-- Looking for pthread_create in pthread
-- Looking for pthread_create in pthread - found
-- Found Threads: TRUE
-- Found X11: /home/ec2-user/anaconda3/include
-- Looking for XOpenDisplay in /home/ec2-user/anaconda3/lib/libX11.so;/home/ec2-user/anaconda3/lib/libXext.so
-- Looking for XOpenDisplay in /home/ec2-user/anaconda3/lib/libX11.so;/home/ec2-user/anaconda3/lib/libXext.so - found
-- Looking for gethostbyname
-- Looking for gethostbyname - found
-- Looking for connect
-- Looking for connect - found
-- Looking for remove
-- Looking for remove - found
-- Looking for shmat
-- Looking for shmat - found
-- Looking for IceConnectionNumber in ICE
-- Looking for IceConnectionNumber in ICE - found
CMake Warning at /home/ec2-user/SageMaker/users/install dlib with cuda/dlib/dlib/cmake_utils/test_for_libpng/CMakeLists.txt:8 (add_executable):
Cannot generate a safe runtime search path for target libpng_test because
files in some directories may conflict with libraries in implicit
directories:

runtime library [libz.so.1] in /usr/lib64 may be hidden by files in:
  /home/ec2-user/anaconda3/lib

Some of these libraries may not be found correctly.

-- Found system copy of libpng: /home/ec2-user/anaconda3/lib/libpng.so;/usr/lib64/libz.so
-- System copy of libpng is broken. Will build our own libpng and use that instead.
-- Found system copy of libjpeg: /usr/lib64/libjpeg.so
-- Found WebP: /home/ec2-user/anaconda3/lib/libwebp.so
-- System copy of libwebp is either too old or broken. Will disable WebP support.
-- Searching for BLAS and LAPACK
-- Searching for BLAS and LAPACK
-- Found PkgConfig: /usr/bin/pkg-config (found version "0.27.1")
-- Checking for module 'cblas'
-- No package 'cblas' found
-- Checking for module 'lapack'
-- No package 'lapack' found
-- Looking for cblas_ddot
-- Looking for cblas_ddot - not found
-- Looking for sys/types.h
-- Looking for sys/types.h - found
-- Looking for stdint.h
-- Looking for stdint.h - found
-- Looking for stddef.h
-- Looking for stddef.h - found
-- Check size of void*
-- Check size of void* - done
-- Found Intel MKL BLAS/LAPACK library
-- Looking for sgesv
-- Looking for sgesv - found
-- Looking for sgesv_
-- Looking for sgesv_ - found
-- Found CUDA: /usr/local/cuda (found suitable version "11.0", minimum required is "7.5")
-- Looking for cuDNN install...
-- Found cuDNN: /usr/local/cuda/lib/libcudnn.so
-- Building a CUDA test project to see if your compiler is compatible with CUDA...
-- Building a cuDNN test project to check if you have the right version of cuDNN installed...
-- Enabling CUDA support for dlib. DLIB WILL USE CUDA, compute capabilities: 50
-- Searching for FFMPEG/LIBAV
-- Checking for modules 'libavdevice;libavfilter;libavformat;libavcodec;libswresample;libswscale;libavutil'
-- No package 'libavdevice' found
-- No package 'libavfilter' found
-- No package 'libavformat' found
-- No package 'libavcodec' found
-- No package 'libswresample' found
-- No package 'libswscale' found
-- No package 'libavutil' found

---

*** No FFMPEG/LIBAV libraries found. ***
*** On Ubuntu you can install them by executing ***
*** sudo apt install libavdevice-dev libavfilter-dev libavformat-dev ***
*** sudo apt install libavcodec-dev libswresample-dev libswscale-dev ***
*** sudo apt install libavutil-dev ***

---

-- Configuring done
-- Generating done
-- Build files have been written to: /home/ec2-user/SageMaker/users/install dlib with cuda/dlib/build/temp.linux-x86_64-cpython-39
Invoking CMake build: 'cmake --build . --config Release -- -j4'
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nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning).
nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning).
nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning).
nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning).
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[ 79%] Linking CXX static library libdlib.a
[ 79%] Built target dlib
[ 79%] Building CXX object CMakeFiles/_dlib_pybind11.dir/src/dlib.cpp.o
[ 80%] Building CXX object CMakeFiles/_dlib_pybind11.dir/src/vector.cpp.o
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[100%] Built target _dlib_pybind11
creating build/bdist.linux-x86_64
creating build/bdist.linux-x86_64/egg
creating build/bdist.linux-x86_64/egg/dlib
copying build/lib.linux-x86_64-cpython-39/dlib/init.py -> build/bdist.linux-x86_64/egg/dlib
copying build/lib.linux-x86_64-cpython-39/_dlib_pybind11.cpython-39-x86_64-linux-gnu.so -> build/bdist.linux-x86_64/egg
byte-compiling build/bdist.linux-x86_64/egg/dlib/init.py to init.cpython-39.pyc
creating stub loader for _dlib_pybind11.cpython-39-x86_64-linux-gnu.so
byte-compiling build/bdist.linux-x86_64/egg/_dlib_pybind11.py to _dlib_pybind11.cpython-39.pyc
creating build/bdist.linux-x86_64/egg/EGG-INFO
copying tools/python/dlib.egg-info/PKG-INFO -> build/bdist.linux-x86_64/egg/EGG-INFO
copying tools/python/dlib.egg-info/SOURCES.txt -> build/bdist.linux-x86_64/egg/EGG-INFO
copying tools/python/dlib.egg-info/dependency_links.txt -> build/bdist.linux-x86_64/egg/EGG-INFO
copying tools/python/dlib.egg-info/not-zip-safe -> build/bdist.linux-x86_64/egg/EGG-INFO
copying tools/python/dlib.egg-info/top_level.txt -> build/bdist.linux-x86_64/egg/EGG-INFO
writing build/bdist.linux-x86_64/egg/EGG-INFO/native_libs.txt
creating dist
creating 'dist/dlib-19.24.99-py3.9-linux-x86_64.egg' and adding 'build/bdist.linux-x86_64/egg' to it
removing 'build/bdist.linux-x86_64/egg' (and everything under it)
Processing dlib-19.24.99-py3.9-linux-x86_64.egg
creating /home/ec2-user/anaconda3/envs/art_intel/lib/python3.9/site-packages/dlib-19.24.99-py3.9-linux-x86_64.egg
Extracting dlib-19.24.99-py3.9-linux-x86_64.egg to /home/ec2-user/anaconda3/envs/art_intel/lib/python3.9/site-packages
Adding dlib 19.24.99 to easy-install.pth file

Installed /home/ec2-user/anaconda3/envs/art_intel/lib/python3.9/site-packages/dlib-19.24.99-py3.9-linux-x86_64.egg
Processing dependencies for dlib==19.24.99
Finished processing dependencies for dlib==19.24.99

However, when I tried dlib/python_examples/cnn_face_detector.py, I got some errors.

Expected Behavior

I should be able to get the face to be recognized.

Current Behavior

When I run this python file, I got this:

Processing file: ../examples/faces/2007_007763.jpg
Could not load library libcudnn_cnn_train.so.8. Error: /usr/local/cuda-11.1/targets/x86_64-linux/lib/libcudnn_ops_train.so.8: symbol _Z22cudnnGenericOpTensorNdILi3EE13cudnnStatus_tP12cudnnContext16cudnnGenericOp_t21cudnnNanPropagation_tPKdPKvPK17cudnnTensorStructS8_S8_SB_S8_S8_SB_Pv, version libcudnn_ops_infer.so.8 not defined in file libcudnn_ops_infer.so.8 with link time reference

Steps to Reproduce

Now I am using Amazon-sagemaker with a ml.g4dn.xlarge jupyter notebook.
I use the following script when I start this notebook:
#!/bin/bash
set -e
#use ec2-user for operations
sudo -u ec2-user -i <<'EOF'
#environment creation
conda create -n art_intel python=3.9 -y
source activate
conda activate art_intel

#make new environment accessible
conda install ipykernel -y
python -m ipykernel install --user --name art_intel --display-name art_intel

#changing pip and python location, making sure that pip command can be executed correctly.
cd ~/anaconda3/envs/JupyterSystemEnv/bin/
sudo ln -sf /home/ec2-user/anaconda3/envs/art_intel/bin/pip pip

#installing packages
conda install dlib==19.24.0 -y
pip install opencv-python==4.7.0.68
pip install torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/cu116

#the following two lines are necessary for the python command to be executed correctly.
cd ~/anaconda3/envs/JupyterSystemEnv/bin/
sudo ln -sf /home/ec2-user/anaconda3/envs/art_intel/bin/python3.9 python

EOF

• Version: 19.24.99
• Where did you get dlib: this github repo
• Platform: Amazon sagemaker, ml.g4dn.xlarge jupyter notebook.
• Compiler: Normal setup.py, cmake version 3.24.2

I noted that the suitable cuda version is 11.0, however when I use nvidia-smi, I found that the cuda version is 11.6. Can this cause this problem? How should I fix it？
Thank you guys.

[1LOVESJohnny]

same error here

[1LOVESJohnny]

Just solved it. My solution for a reference:

1. add up the library path to the LD_LIBRARY_PATH
2. if pump up another error saying "libcudnn_ops_infer.so.8 not defined in file libcudnn_ops_infer.so.8 with link time reference", set "export LD_PRELOAD=path-to-the-library.so"

Anyways, this solution seems a short-term walkaround. Still hope to see a long-term solution...

[dentistfrankchen]

@1LOVESJohnny Did you solve it by adding os.enviro['LD-PRELOAD'] to the py file? I tried this way, but it did not work. Can you show me your solution code?

[dentistfrankchen]

I tried several ways, but none of those worked. Here are my tests in the command line:
test.txt

[1LOVESJohnny]

@1LOVESJohnny Did you solve it by adding os.enviro['LD-PRELOAD'] to the py file? I tried this way, but it did not work. Can you show me your solution code?

Hi I took a glimpse of your .txt file. Here are my detailed solution, note that I just input all the commands in the bash within a conda env:

1. First, add up the LD_LIBRARY_PATH with your installed CUDA+cudnn directory.
   export LD_LIBRARY_PATH=/usr/local/cuda-11.0/lib/:$LD_LIBRARY_PATH

2. Then, set up the LD_PRELOAD variable to the library directory with the command as below: (in your case)
   export LD_PRELOAD=/usr/local/cuda-11.1/targets/x86_64-linux/lib/libcudnn_ops_infer.so.8

Anyways, as stated before, it is just a walkaround and suggest you to conduct all these commands under a conda env so as to protect your global environment neat.

Another point you should pay attention to is the version of cudnn and CUDA must match up. And be sure your cudnn has been well installed.

Hope it can help!

[dentistfrankchen]

@1LOVESJohnny Thank you a lot. My problem got solved by trying the first step of your solution.
You saved my day. I really appreciate for your help.

[dlib-issue-bot]

Warning: this issue has been inactive for 35 days and will be automatically closed on 2023-03-24 if there is no further activity.

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[dlib-issue-bot]

Warning: this issue has been inactive for 43 days and will be automatically closed on 2023-03-24 if there is no further activity.

If you are waiting for a response but haven't received one it's possible your question is somehow inappropriate. E.g. it is off topic, you didn't follow the issue submission instructions, or your question is easily answerable by reading the FAQ, dlib's official compilation instructions, dlib's API documentation, or a Google search.

[dlib-issue-bot]

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