OSError: libcusparse.so.11: cannot open shared object file: No such file or directory
See original GitHub issue📚 Installation
Error occurs when I run from torch_geometric.data import Data
OSError Traceback (most recent call last) <ipython-input-1-767c8a8c19d6> in <module> 1 import torch ----> 2 from torch_geometric.data import Data
~/anaconda3/envs/pytorch_env/lib/python3.7/site-packages/torch_geometric/init.py in <module> 1 from .debug import is_debug_enabled, debug, set_debug ----> 2 import torch_geometric.nn 3 import torch_geometric.data 4 import torch_geometric.datasets 5 import torch_geometric.transforms
~/anaconda3/envs/pytorch_env/lib/python3.7/site-packages/torch_geometric/nn/init.py in <module> 1 from .meta import MetaLayer ----> 2 from .data_parallel import DataParallel 3 from .reshape import Reshape 4 from .conv import * # noqa 5 from .norm import * # noqa
~/anaconda3/envs/pytorch_env/lib/python3.7/site-packages/torch_geometric/nn/data_parallel.py in <module> 3 4 import torch ----> 5 from torch_geometric.data import Batch 6 7
~/anaconda3/envs/pytorch_env/lib/python3.7/site-packages/torch_geometric/data/init.py in <module> ----> 1 from .data import Data 2 from .batch import Batch 3 from .dataset import Dataset 4 from .in_memory_dataset import InMemoryDataset 5 from .dataloader import DataLoader, DataListLoader, DenseDataLoader
~/anaconda3/envs/pytorch_env/lib/python3.7/site-packages/torch_geometric/data/data.py in <module> 6 import torch 7 import torch_geometric ----> 8 from torch_sparse import coalesce, SparseTensor 9 from torch_geometric.utils import (contains_isolated_nodes, 10 contains_self_loops, is_undirected)
~/anaconda3/envs/pytorch_env/lib/python3.7/site-packages/torch_sparse/init.py in <module> 11 ]: 12 torch.ops.load_library(importlib.machinery.PathFinder().find_spec( —> 13 library, [osp.dirname(file)]).origin) 14 15 if torch.cuda.is_available() and torch.version.cuda: # pragma: no cover
~/anaconda3/envs/pytorch_env/lib/python3.7/site-packages/torch/_ops.py in load_library(self, path) 103 # static (global) initialization code in order to register custom 104 # operators with the JIT. –> 105 ctypes.CDLL(path) 106 self.loaded_libraries.add(path) 107
~/anaconda3/envs/pytorch_env/lib/python3.7/ctypes/init.py in init(self, name, mode, handle, use_errno, use_last_error) 362 363 if handle is None: –> 364 self._handle = _dlopen(self._name, mode) 365 else: 366 self._handle = handle
OSError: libcusparse.so.11: cannot open shared object file: No such file or directory
Environment
- OS: Ubuntu 18.04
- Python version: 3.7.6
- PyTorch version: 1.7.1
- CUDA/cuDNN version: 11.0
- GCC version: 7.5.0
- How did you try to install PyTorch Geometric and its extensions (wheel, source): Binaries
- Any other relevant information: followed this guide Installation via Binaries
Checklist
- [y] I followed the installation guide.
- I cannot find my error message in the FAQ.
- I set up CUDA correctly and can compile CUDA code via
nvcc
. <— not sure how to do this, but I have been running pytorch on GPU fine all this while - I do have multiple CUDA versions on my machine. <— not sure how to check but when I run
python -c "import torch; print(torch.__version__)"
returns1.7.1+cu110
andpython -c "import torch; print(torch.version.cuda)"
returns11.0
Additional context
Installed via:
pip install --no-index torch-scatter -f https://pytorch-geometric.com/whl/torch-1.7.0+cu110.html
pip install --no-index torch-sparse -f https://pytorch-geometric.com/whl/torch-1.7.0+cu110.html
pip install --no-index torch-cluster -f https://pytorch-geometric.com/whl/torch-1.7.0+cu110.html
pip install --no-index torch-spline-conv -f https://pytorch-geometric.com/whl/torch-1.7.0+cu110.html
pip install torch-geometric
Issue Analytics
- State:
- Created 3 years ago
- Reactions:1
- Comments:26 (10 by maintainers)
Top GitHub Comments
You can try to add the minconda CUDA libs installed by PyTorch to
$LD_LIBRARY_PATH
, e.g.:This folder should contain
libcusparse.so.11
.@smiles724 @zilangch @domilay I found a solution in Pycharm. It can be solved by manually adding LIBRARY_PATH in the run/debug configurations.