While I wanted to install thundersvm in kaggle using !pip install thundersvm, I encountered this error:
---------------------------------------------------------------------------
OSError Traceback (most recent call last)
Cell In[6], line 3
1 get_ipython().run_line_magic('pip', 'install thundersvm')
2 get_ipython().run_line_magic('pip', 'install keras_tuner')
----> 3 from thundersvm import SVC
4 from sklearn.preprocessing import StandardScaler
5 from sklearn.metrics import classification_report
File /opt/conda/lib/python3.10/site-packages/thundersvm/__init__.py:10
3 """
4 * Name : __init__.py
5 * Author : Locke <luojiahuan001@gmail.com>
6 * Version : 0.0.1
7 * Description :
8 """
9 name = "thundersvm"
---> 10 from .thundersvm import *
File /opt/conda/lib/python3.10/site-packages/thundersvm/thundersvm.py:39
36 lib_path = path.join(dirname, shared_library_name)
38 if path.exists(lib_path):
---> 39 thundersvm = CDLL(lib_path)
40 else:
41 # try the build directory
42 if platform == "linux" or platform == "linux2":
File /opt/conda/lib/python3.10/ctypes/__init__.py:374, in CDLL.__init__(self, name, mode, handle, use_errno, use_last_error, winmode)
371 self._FuncPtr = _FuncPtr
373 if handle is None:
--> 374 self._handle = _dlopen(self._name, mode)
375 else:
376 self._handle = handle
OSError: libcusparse.so.9.0: cannot open shared object file: No such file or directory
in order to fix this, I tried this:
# Download and install CUDA 9.0
wget https://developer.nvidia.com/compute/cuda/9.0/Prod/local_installers/cuda_9.0.176_384.81_linux-run
sudo sh cuda_9.0.176_384.81_linux-run
which didn't work either. How can I fix this?
In order to fix this issue you need to install some dependencies and make the downloaded file executable.
# Install missing libraries
!sudo apt-get update
!sudo apt-get install -y libglu1-mesa libx11-dev libxi-dev libxmu-dev libgl-dev
# Download and install CUDA 9.0 silently with --override to replace the current one
!wget -q https://developer.nvidia.com/compute/cuda/9.0/Prod/local_installers/cuda_9.0.176_384.81_linux-run -O cuda_9.0.176_384.81_linux-run
!chmod +x cuda_9.0.176_384.81_linux-run
!sudo sh cuda_9.0.176_384.81_linux-run --silent --override --toolkit --samples
# Manually specify the toolkit and sample directories
!sudo sh /usr/local/cuda-9.0/bin/cuda-install-samples-9.0.sh /root
after this, you can install and import thundersvm library.