Closed faysalhossain2007 closed 2 years ago
I am attaching torch and torch geometric version. in case it helps to debug.
>>> import torch as tr
>>> tr.__version__
'1.11.0'
>>> import torch_geometric as tgm
>>> tgm.__version__
'2.0.4'
>>> ogb.__version__
'1.3.3'
nvcc --version
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2020 NVIDIA Corporation
Built on Thu_Jun_11_22:26:38_PDT_2020
Cuda compilation tools, release 11.0, V11.0.194
Build cuda_11.0_bu.TC445_37.28540450_0
>>> import dgl
DGL backend not selected or invalid. Assuming PyTorch for now.
Setting the default backend to "pytorch". You can change it in the ~/.dgl/config.json file or export the DGLBACKEND environment variable. Valid options are: pytorch, mxnet, tensorflow (all lowercase)
d>>> dgl.__version__
'0.8.1'
>>> import rdkit
>>> rdkit.__version__
'2020.09.5'
Thanks for this issue. Sadly, it is super hard for me to tell where exactly the program hangs. Is it possible for you to debug this on your own (e.g., by installing OGB from source via python setup.py develop
, and checking during which import the package is stuck)?
I try to debug a bit by my self. Whenever I try to import anything from ogb.graphproppred
it hangs for infinite time. I double check with the requirement, and it seems like I installed the packages which should be compatible. On a different note, can you share with me the exact version of the required packages that worked for you? So I can install those and test it on my machine.
Can you give me a bit hint on what should be the proper way to debug by executing python setup.py develop
?
I think your versions look totally fine. Does the same error happen in case of importing ogb.nodeproppred
? In case not, this is definitely an rdkit
problem. You can also check where the program hangs by adding print statements after each line here. For this, you need to clone OGB from GitHub and run python setup.py develop
in the root directory.
it is really weird!
if I change the order of import then it works!
### importing OGB
from ogb.graphproppred import PygGraphPropPredDataset, Evaluator
import torch
from torch_geometric.loader import DataLoader
import torch.optim as optim
import torch.nn.functional as F
from torchvision import transforms
from gnn import GNN
instead of
import torch
from torch_geometric.loader import DataLoader
import torch.optim as optim
import torch.nn.functional as F
from torchvision import transforms
from gnn import GNN
### importing OGB
from ogb.graphproppred import PygGraphPropPredDataset, Evaluator
do you have any explanation for that?
I think you definitely need to import torch
first, because both PyG and DGL depend on it. Let me know if this clarifies your doubts.
I have also been getting this issue of hanging when trying to import the required packages and the stack trace when I interrupt is as follows:
^CTraceback (most recent call last):
File "main.py", line 3, in <module>
from ogb.graphproppred import PygGraphPropPredDataset, Evaluator
File "/home/dillon/anaconda3/envs/gnn/lib/python3.8/site-packages/ogb/graphproppred/__init__.py", line 1, in <module>
from .evaluate import Evaluator
File "/home/dillon/anaconda3/envs/gnn/lib/python3.8/site-packages/ogb/graphproppred/evaluate.py", line 1, in <module>
from sklearn.metrics import roc_auc_score, average_precision_score
File "/home/dillon/anaconda3/envs/gnn/lib/python3.8/site-packages/sklearn/__init__.py", line 80, in <module>
from .base import clone
File "/home/dillon/anaconda3/envs/gnn/lib/python3.8/site-packages/sklearn/base.py", line 21, in <module>
from .utils import _IS_32BIT
File "/home/dillon/anaconda3/envs/gnn/lib/python3.8/site-packages/sklearn/utils/__init__.py", line 23, in <module>
from .class_weight import compute_class_weight, compute_sample_weight
File "/home/dillon/anaconda3/envs/gnn/lib/python3.8/site-packages/sklearn/utils/class_weight.py", line 7, in <module>
from .validation import _deprecate_positional_args
File "/home/dillon/anaconda3/envs/gnn/lib/python3.8/site-packages/sklearn/utils/validation.py", line 21, in <module>
import joblib
File "/home/dillon/anaconda3/envs/gnn/lib/python3.8/site-packages/joblib/__init__.py", line 113, in <module>
from .memory import Memory, MemorizedResult, register_store_backend
File "/home/dillon/anaconda3/envs/gnn/lib/python3.8/site-packages/joblib/memory.py", line 32, in <module>
from ._store_backends import StoreBackendBase, FileSystemStoreBackend
File "/home/dillon/anaconda3/envs/gnn/lib/python3.8/site-packages/joblib/_store_backends.py", line 15, in <module>
from .backports import concurrency_safe_rename
File "/home/dillon/anaconda3/envs/gnn/lib/python3.8/site-packages/joblib/backports.py", line 7, in <module>
from distutils.version import LooseVersion
File "<frozen importlib._bootstrap>", line 991, in _find_and_load
File "<frozen importlib._bootstrap>", line 971, in _find_and_load_unlocked
File "<frozen importlib._bootstrap>", line 914, in _find_spec
File "/home/dillon/anaconda3/envs/gnn/lib/python3.8/site-packages/_distutils_hack/__init__.py", line 90, in find_spec
return method()
File "/home/dillon/anaconda3/envs/gnn/lib/python3.8/site-packages/_distutils_hack/__init__.py", line 101, in spec_for_distutils
mod = importlib.import_module('setuptools._distutils')
File "/home/dillon/anaconda3/envs/gnn/lib/python3.8/importlib/__init__.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "/home/dillon/anaconda3/envs/gnn/lib/python3.8/site-packages/setuptools/__init__.py", line 16, in <module>
import setuptools.version
File "/home/dillon/anaconda3/envs/gnn/lib/python3.8/site-packages/setuptools/version.py", line 1, in <module>
import pkg_resources
File "<frozen importlib._bootstrap>", line 202, in _lock_unlock_module
File "<frozen importlib._bootstrap>", line 98, in acquire
KeyboardInterrupt
Something weird starts to happen when sklearn.metrics
is imported but when I try to import it with an empty python file, it works fine.
Furthermore, the code seems to run fine when converted to ipynb and run with jupyter notebook.
However, what I find works for me was pip uninstall setuptools
.
I encountered the same problem. For me, solution was downgrading the torch-geometric version. I faced the problem when I was using torch-geometric==2.0.3
. After downgrading to torch-geometric==1.7.0
problem was solved. Not sure how much you should go back...
If torch-geometric is more important, try installing ogb==1.2.1
without changing the torch-geometric version.
Hi I am able to run
from torch_geometric.data import InMemoryDataset
successfully. But whenever I try to import anything from ogb, the program stuck for infinite time. Import code is:from ogb.graphproppred import Evaluator
I followed the following command to install torch in conda environment:
Note that, I am using Ubuntu. My Nvidia-smi output: