RuntimeError: CUDA error: operation not supported when calling cusparseCreate(handle) #14
Description
When I run the following command：
python train_gcond_transduct.py --dataset cora --nlayers=2 --lr_feat=1e-4 --gpu_id=0 --lr_adj=1e-4 --r=0.5
the testing phase after 400 training sessions will encounter the following bugs：
File "E:\数据蒸馏代码\GCond-main\models\gcn.py", line 43, in forward
Epoch 350, loss_avg: 0.15287520616782013
Epoch 400, loss_avg: 0.15193571531805686
Traceback (most recent call last):
File "E:\数据蒸馏代码\GCond-main\train_gcond_transduct.py", line 57, in
agent.train()
File "E:\数据蒸馏代码\GCond-main\gcond_agent_transduct.py", line 271, in train
res.append(self.test_with_val())
File "E:\数据蒸馏代码\GCond-main\gcond_agent_transduct.py", line 99, in test_with_val
model.fit_with_val(feat_syn, adj_syn, labels_syn, data,
File "E:\数据蒸馏代码\GCond-main\models\gcn.py", line 255, in fit_with_val
self._train_with_val(labels, data, train_iters, verbose)
File "E:\数据蒸馏代码\GCond-main\models\gcn.py", line 289, in _train_with_val
output = self.forward(feat_full, adj_full_norm)
File "E:\数据蒸馏代码\GCond-main\models\gcn.py", line 100, in forward
x = layer(x, adj)
File "D:\ProgramData\Anaconda3\envs\graph_cond\lib\site-packages\torch\nn\modules\module.py", line 727, in _call_impl
result = self.forward(*input, **kwargs)
File "E:\数据蒸馏代码\GCond-main\models\gcn.py", line 43, in forward
output = torch.spmm(adj, support)
RuntimeError: CUDA error: operation not supported when calling cusparseCreate(handle)
After checking, it was said to be related to the CUDA version, but the environment I used is consistent with the one you provided. Can you provide a solution?
My environment configuration is as follows：
Package Version
ase 3.22.1
certifi 2022.12.7
charset-normalizer 3.3.2
colorama 0.4.6
cycler 0.11.0
Cython 0.29.14
deeprobust 0.2.4
fonttools 4.38.0
gensim 3.8.3
googledrivedownloader 0.4
h5py 3.8.0
idna 3.7
imageio 2.31.2
importlib-metadata 4.13.0
isodate 0.6.1
Jinja2 3.1.4
joblib 1.3.2
kiwisolver 1.4.5
littleutils 0.2.2
llvmlite 0.39.1
MarkupSafe 2.1.5
matplotlib 3.5.3
networkx 2.6.3
numba 0.56.4
numpy 1.21.6
ogb 1.3.0
outdated 0.2.2
packaging 24.0
pandas 1.3.5
Pillow 9.5.0
pip 22.3.1
protobuf 4.24.4
pyparsing 3.1.2
python-dateutil 2.9.0.post0
python-louvain 0.16
pytz 2024.1
PyWavelets 1.3.0
rdflib 6.3.2
requests 2.31.0
scikit-image 0.19.3
scikit-learn 1.0.2
scipy 1.7.3
setuptools 65.6.3
six 1.16.0
smart-open 7.0.4
tensorboardX 2.6.2.2
texttable 1.7.0
threadpoolctl 3.1.0
tifffile 2021.11.2
torch 1.7.1+cu110
torch-cluster 1.5.9
torch-geometric 1.6.3
torch-scatter 2.0.7
torch-sparse 0.6.8
torch-spline-conv 1.2.1
torchaudio 0.7.2
torchvision 0.8.2+cu110
tqdm 4.66.4
typing_extensions 4.7.1
urllib3 2.0.7
wheel 0.38.4
wincertstore 0.2
wrapt 1.16.0
zipp 3.15.0