this is the traceback
`Traceback (most recent call last):
File "/home/yrwang/.local/lib/python3.6/site-packages/torch_sparse/__init__.py", line 15, in
library, [osp.dirname(__file__)]).origin)
File "/home/yrwang/.local/lib/python3.6/site-packages/torch/_ops.py", line 106, in load_library
ctypes.CDLL(path)
File "/usr/lib/python3.6/ctypes/__init__.py", line 348, in __init__
self._handle = _dlopen(self._name, mode)
OSError: libcusparse.so.10: 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 "
File "/home/yrwang/.local/lib/python3.6/site-packages/torch_geometric/__init__.py", line 2, in
import torch_geometric.nn
File "/home/yrwang/.local/lib/python3.6/site-packages/torch_geometric/nn/__init__.py", line 2, in
from .data_parallel import DataParallel
File "/home/yrwang/.local/lib/python3.6/site-packages/torch_geometric/nn/data_parallel.py", line 5, in
from torch_geometric.data import Batch
File "/home/yrwang/.local/lib/python3.6/site-packages/torch_geometric/data/__init__.py", line 1, in
from .data import Data
File "/home/yrwang/.local/lib/python3.6/site-packages/torch_geometric/data/data.py", line 7, in
from torch_sparse import coalesce
File "/home/yrwang/.local/lib/python3.6/site-packages/torch_sparse/__init__.py", line 23, in
raise OSError(e)
OSError: libcusparse.so.10: cannot open shared object file: No such file or directory
`
my cuda,cudnn is well installed :
nvcc -V
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2019 NVIDIA Corporation
Built on Sun_Jul_28_19:07:16_PDT_2019
Cuda compilation tools, release 10.1, V10.1.243
my torch version:
>>> print(torch.__version__)
1.4.0
I use
`pip3 install torch-scatter==2.0.4+cu101 -f https://pytorch-geometric.com/whl/torch-1.4.0.html
pip3 install torch-sparse==0.6.1+cu101 -f https://pytorch-geometric.com/whl/torch-1.4.0.html
pip3 install torch-cluster==1.5.4+cu101 -f https://pytorch-geometric.com/whl/torch-1.4.0.html
pip3 install torch-spline-conv==1.2.0+cu101 -f https://pytorch-geometric.com/whl/torch-1.4.0.html
pip3 install torch-geometric`
to install torch-geometric, but the problem occur, thanks for helping me
libcusparse.so and libcusparse.so.10 is already included in usr/local/cuda/lib64
Is this path added to LD_LIBRARY_PATH?
thank you ,yes ,I check it,this is the result:
`echo $LD_LIBRARY_PATH
/usr/lcoal/cuda-10.1/lib64:
`
And what does torch.cuda.version say?
Do you mean torch.version.cuda?
the result of ' torch.version.cuda' is :
`>>> print(torch.version.cuda)
10.1
the result of 'torch.cuda.version' is
>>> torch.cuda.version
Traceback (most recent call last):
File "
AttributeError: module 'torch.cuda' has no attribute 'version'
`
Can you do me a favor and see if you can install from torch-scatter from source?
Yes, I am glad to do it. what should I do?And how can I install from torch-scatter from source?
where can I find the way to install torch-scatter from source codes?
See here.
I follow your instruction to install torch-scatter from source,.the process and result is as following, but it still has the problem mentioned above.What should I do? Your PyG is really important for me,thank you very much.
~$ python3 -c "import torch; print(torch.__version__)"
1.4.0
~$ echo $PATH
/usr/local/cuda-10.1/bin:/home/yrwang/.local/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games:/snap/bin
~$ echo $CPATH
/usr/local/cuda/include:
~$ pip3 install torch-scatter
Collecting torch-scatter
Installing collected packages: torch-scatter
Successfully installed torch-scatter-2.0.4
Mh, this is super weird :( Do you have multiple CUDA versions installed on your system? There must be a reason why it tries to look in the wrong folder.
no,I only have one CUDA version installed on my system.
Dear author, I made it. Thank you for your help. I downgrade CUDA to version 10.0, pytorch to version 1.4.0+cu100, torchvision to 0.5.0+cu100, and install torch-scatter torch-sparse torch-cluster torch-spline-conv from source. I tried to use version cu100 .whl to install them, but it doesn't work. The commands I used are as follows:
pip3 install torch-scatter
pip3 install torch-sparse
pip3 install torch-cluster
pip3 install torch-spline-conv
pip3 install torch-geometric torch==1.4.0+cu100 torchvision==0.5.0+cu100 -f https://download.pytorch.org/whl/torch_stable.html
If someone need help, please contact me.
Glad that you made it, but why did downgrading help?
Mh, this is super weird :( Do you have multiple CUDA versions installed on your system? There must be a reason why it tries to look in the wrong folder.
I want to ask the problem. In the usr/local have the CUDE and CUDE-10.0. Does the meaning represent the one code or multiply CUDE
I follow your instruction to install torch-scatter from source,.the process and result is as following, but it still has the problem mentioned above.What should I do? Your PyG is really important for me,thank you very much.
~$ python3 -c "import torch; print(torch.version)"
1.4.0
~$ echo $PATH
/usr/local/cuda-10.1/bin:/home/yrwang/.local/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games:/snap/bin
~$ echo $CPATH
/usr/local/cuda/include:
~$ pip3 install torch-scatter
Collecting torch-scatter
Installing collected packages: torch-scatter
Successfully installed torch-scatter-2.0.4
thank you very much. And I use your first orders, then I complete the setup so amazing. And I don't why.
And my environment is Conda env,ubuntu,NVIDIA-SMI 418.67 Driver Version: 418.67,default CUDA and CUDA-10.0, Pytorch1.4 ,cudnn7.6.5.
Then I try to install the torch_geometric. I achieve the work with your orders.
Dear author, I made it. Thank you for your help. I downgrade CUDA to version 10.0, pytorch to version 1.4.0+cu100, torchvision to 0.5.0+cu100, and install torch-scatter torch-sparse torch-cluster torch-spline-conv from source. I tried to use version cu100 .whl to install them, but it doesn't work. The commands I used are as follows:
pip3 install torch-scatter
pip3 install torch-sparse
pip3 install torch-cluster
pip3 install torch-spline-conv
pip3 install torch-geometric torch==1.4.0+cu100 torchvision==0.5.0+cu100 -f https://download.pytorch.org/whl/torch_stable.htmlIf someone need help, please contact me.
Could you please show your versions of torch-scatter, torch-sparse, torch-cluster, and torch-split-conv respectively?
CUDA 10.0
torch 1.4.0+cu100
torch-cluster 1.5.4
torch-geometric 1.4.3
torch-scatter 2.0.4
torch-sparse 0.6.4
torch-spline-conv 1.2.0
torchvision 0.5.0+cu100
When I import torch_geometric, I meet this error:
Traceback (most recent call last):
File "gcn.py", line 6, in
from torch_geometric.datasets import Planetoid
File "/home/wanghui/anaconda3/envs/gnn/lib/python3.7/site-packages/torch_geometric/__init__.py", line 2, in
import torch_geometric.nn
File "/home/wanghui/anaconda3/envs/gnn/lib/python3.7/site-packages/torch_geometric/nn/__init__.py", line 2, in
from .data_parallel import DataParallel
File "/home/wanghui/anaconda3/envs/gnn/lib/python3.7/site-packages/torch_geometric/nn/data_parallel.py", line 5, in
from torch_geometric.data import Batch
File "/home/wanghui/anaconda3/envs/gnn/lib/python3.7/site-packages/torch_geometric/data/__init__.py", line 1, in
from .data import Data
File "/home/wanghui/anaconda3/envs/gnn/lib/python3.7/site-packages/torch_geometric/data/data.py", line 7, in
from torch_sparse import coalesce
File "/home/wanghui/anaconda3/envs/gnn/lib/python3.7/site-packages/torch_sparse/__init__.py", line 34, in
from .storage import SparseStorage # noqa
File "/home/wanghui/anaconda3/envs/gnn/lib/python3.7/site-packages/torch_sparse/storage.py", line 21, in
class SparseStorage(object):
File "/home/wanghui/anaconda3/envs/gnn/lib/python3.7/site-packages/torch/jit/__init__.py", line 1274, in script
_compile_and_register_class(obj, _rcb, qualified_name)
File "/home/wanghui/anaconda3/envs/gnn/lib/python3.7/site-packages/torch/jit/__init__.py", line 1115, in _compile_and_register_class
_jit_script_class_compile(qualified_name, ast, rcb)
RuntimeError:
__init__(__torch__.torch_sparse.storage.SparseStorage self, Tensor? row, Tensor? rowptr, Tensor? col, Tensor? value, (int, int)? sparse_sizes, Tensor? rowcount, Tensor? colptr, Tensor? colcount, Tensor? csr2csc, Tensor? csc2csr, bool is_sorted) -> (None):
Expected a value of type 'Optional[Tensor]' for argument 'row' but instead found type 'int'.
:
File "/home/wanghui/anaconda3/envs/gnn/lib/python3.7/site-packages/torch_sparse/storage.py", line 283
col = idx % num_cols
return SparseStorage(row=row, rowptr=None, col=col, value=self._value,
~~~~~~~~~~~~~ <--- HERE
sparse_sizes=(num_rows, num_cols), rowcount=None,
colptr=None, colcount=None, csr2csc=None,
Can you hack torch_sparse.storage.py by replacing this line with:
row = idx / num_cols
OK! It works! Thank you!
I've encountered a similar problem (OSError: libcusparse.so.10.0: cannot open shared object file: No such file or directory), and I think torch-sparse might be looking in a wrong place for the library: I have CUDA 10.2, but I'm using an older version of torch: torch==1.4.0+cu100 and somehow installation of dependencies with cu100 made it problematic. Updating torch to 1.4.0+cu101 and installing the dependencies as in README with cu101 made the issue disappear.
torch 1.5.0+cu101
torch-cluster 1.5.4
torch-geometric 1.5.0
torch-scatter 2.0.4
torch-sparse 0.6.4
torch-spline-conv 1.2.0
torchvision 0.6.0+cu101
I'm having a similar but slightly different issue:
File "/home/aqd215/pyenv/py3.7/lib/python3.7/site-packages/torch_geometric/__init__.py", line 2, in
import torch_geometric.nn
File "/home/aqd215/pyenv/py3.7/lib/python3.7/site-packages/torch_geometric/nn/__init__.py", line 2, in
from .data_parallel import DataParallel
File "/home/aqd215/pyenv/py3.7/lib/python3.7/site-packages/torch_geometric/nn/data_parallel.py", line 5, in
from torch_geometric.data import Batch
File "/home/aqd215/pyenv/py3.7/lib/python3.7/site-packages/torch_geometric/data/__init__.py", line 1, in
from .data import Data
File "/home/aqd215/pyenv/py3.7/lib/python3.7/site-packages/torch_geometric/data/data.py", line 7, in
from torch_sparse import coalesce
File "/home/aqd215/pyenv/py3.7/lib/python3.7/site-packages/torch_sparse/__init__.py", line 13, in
library, [osp.dirname(__file__)]).origin)
File "/home/aqd215/pyenv/py3.7/lib/python3.7/site-packages/torch/_ops.py", line 105, in load_library
ctypes.CDLL(path)
File "/share/apps/anaconda3/5.3.1/lib/python3.7/ctypes/__init__.py", line 356, in __init__
self._handle = _dlopen(self._name, mode)
OSError: libcusparse.so.10: cannot open shared object file: No such file or directory
Dear author, I made it. Thank you for your help. I downgrade CUDA to version 10.0, pytorch to version 1.4.0+cu100, torchvision to 0.5.0+cu100, and install torch-scatter torch-sparse torch-cluster torch-spline-conv from source. I tried to use version cu100 .whl to install them, but it doesn't work. The commands I used are as follows:
pip3 install torch-scatter
pip3 install torch-sparse
pip3 install torch-cluster
pip3 install torch-spline-conv
pip3 install torch-geometric torch==1.4.0+cu100 torchvision==0.5.0+cu100 -f https://download.pytorch.org/whl/torch_stable.htmlIf someone need help, please contact me.
Hey, I followed your installation, but the problem is still here.
torch 1.4.0+cu100
torch-cluster 1.5.4
torch-scatter 2.0.4
torch-sparse 0.6.1
torch-spline-conv 1.2.0
torchvision-0.5.0+cu100
Ubuntu 18.04
This is my procedure to fix this bug.
find -name libcus*
if you see "libcusparse.so.11", continue following steps:
remove current cuda
sudo apt-get --purge remove "*cublas*" "cuda*" "nsight*"sudo apt-get --purge remove "*nvidia*"install new cuda-10-2
wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/cuda-ubuntu1804.pinsudo mv cuda-ubuntu1804.pin /etc/apt/preferences.d/cuda-repository-pin-600wget http://developer.download.nvidia.com/compute/cuda/10.2/Prod/local_installers/cuda-repo-ubuntu1804-10-2-local-10.2.89-440.33.01_1.0-1_amd64.debsudo dpkg -i cuda-repo-ubuntu1804-10-2-local-10.2.89-440.33.01_1.0-1_amd64.debsudo apt-key add /var/cuda-repo-10-2-local-10.2.89-440.33.01/7fa2af80.pubsudo apt-get updatesudo apt-get -y install cuda-10-2
add CUDA to PATH
$ export PATH=/usr/local/cuda/bin:$PATH
$ echo $PATH
>>> /usr/local/cuda/bin:...
$ export CPATH=/usr/local/cuda/include:$CPATH
$ echo $CPATH
>>> /usr/local/cuda/include:...
$ export LD_LIBRARY_PATH=/usr/local/cuda/lib64:$LD_LIBRARY_PATH
$ echo $LD_LIBRARY_PATH
>>> /usr/local/cuda/lib64:...
$ export DYLD_LIBRARY_PATH=/usr/local/cuda/lib:$DYLD_LIBRARY_PATH
$ echo $DYLD_LIBRARY_PATH
>>> /usr/local/cuda/lib:...

First check this
cd to /usr/local/cudafind -name libcus*libcusparse.so.10(maybe u find libcusparse.so.10.0 or libcusparse.so.11 etc.)I install CUDA Toolkit 10.1 and change environment variables. It's works.
This saved me: https://medium.com/@exesse/cuda-10-1-installation-on-ubuntu-18-04-lts-d04f89287130
se
pip3 install torch-cluster
pip3 install torch-spline-conv
pip3 install torch-geometric torch==1.4.0+cu100 torchvision==0.5.0+cu100 -f https://download.pytorch.org/whl/torch_stable.html
I followed your steps now I am getting this error:
OSError: libtorch_cpu.so: cannot open shared object file: No such file or directory
Can you help me to fix it?
Using PyTorch 1.4.0 is no longer supported and it is recommended to update your PyTorch version. I suggest to use PyTorch 1.6.0 (since wheels are not yet ready for PyTorch 1.7.0).
You can then install PyG as described here:
https://github.com/rusty1s/pytorch_geometric#pytorch-160
I followed your steps as describe in: https://github.com/rusty1s/pytorch_geometric#pytorch-160
My setting is as follows:
torch 1.6.0+cu102
torch-cluster 1.5.8
torch-scatter 2.0.5
torch-sparse 0.6.8
torch-spline-conv 1.2.0
torchvision-0.7.0+cu102
Error: OSError: libcusparse.so.10: cannot open shared object file: No such file or directory
Trace:
Traceback (most recent call last):File "/home/Documents/Graph-master/code/Test.py", line 15, in
OSError: libcusparse.so.10: cannot open shared object file: No such file or directory
I tried every other method that worked for others listed in this thread but still this issue persists for me. @rusty1s Could you please help me resolve this? This is key to proceed with my work.
Thanks in advance!
libcusparse.so.xxx should be either contained in $CUDA_HOME/lib or in .../miniconda3/lib. In case it is only included in the latter, please add that path to LD_LIBRARY_PATH.
libcusparse.so.xxxshould be either contained in$CUDA_HOME/libor in.../miniconda3/lib. In case it is only included in the latter, please add that path toLD_LIBRARY_PATH.
I wasn't able to figure that out but I managed to get it running with the +cpu version instead.
Thanks for the response and this library!
libcusparse.so.xxxshould be either contained in$CUDA_HOME/libor in.../miniconda3/lib. In case it is only included in the latter, please add that path toLD_LIBRARY_PATH.I wasn't able to figure that out but I managed to get it running with the +cpu version instead.
Thanks for the response and this library!
Just an update:
The CUDA on my system got accidentally deleted and therefore the error. I reinstalled CUDA 11 and then installed the corresponding pytorch 1.7.0 just the way it's mentioned in step 3 of installation via binaries here: https://pytorch-geometric.readthedocs.io/en/latest/notes/installation.html
I no longer have this issue.
Thanks again!
I had this problem when using conda. I had installed pytorch and torchvision with pip, but pip uninstall pytorch and torchvision and then install them through conda instead solved the issue
Most helpful comment
Ubuntu 18.04
This is my procedure to fix this bug.
find -name libcus*if you see "libcusparse.so.11", continue following steps:
remove current cuda
sudo apt-get --purge remove "*cublas*" "cuda*" "nsight*"sudo apt-get --purge remove "*nvidia*"install new cuda-10-2
wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/cuda-ubuntu1804.pinsudo mv cuda-ubuntu1804.pin /etc/apt/preferences.d/cuda-repository-pin-600wget http://developer.download.nvidia.com/compute/cuda/10.2/Prod/local_installers/cuda-repo-ubuntu1804-10-2-local-10.2.89-440.33.01_1.0-1_amd64.debsudo dpkg -i cuda-repo-ubuntu1804-10-2-local-10.2.89-440.33.01_1.0-1_amd64.debsudo apt-key add /var/cuda-repo-10-2-local-10.2.89-440.33.01/7fa2af80.pubsudo apt-get updatesudo apt-get -y install cuda-10-2add CUDA to PATH