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ERROR: No matching distribution found for torch-spine-conv #3707

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samahwaleed opened this issue Dec 16, 2021 · 24 comments
Closed

ERROR: No matching distribution found for torch-spine-conv #3707

samahwaleed opened this issue Dec 16, 2021 · 24 comments
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installation

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@samahwaleed
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Hello,
I am trying to install the pytorch_geometric on my computer which doesn't have GPU. When I try to run:

!pip3 install torch-scatter
!pip3 install torch-sparse
!pip3 install torch-cluster
!pip3 install torch-spine-conv
!pip3 install torch-geometric

I get the following error:

ERROR: Could not find a version that satisfies the requirement torch-spine-conv (from versions: none)
ERROR: No matching distribution found for torch-spine-conv

By doing:
python -c "import torch; print(torch.__version__)"

I get:

1.10.0+cu102
@rusty1s
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rusty1s commented Dec 16, 2021

It‘s called torch-spline-conv :)

@samahwaleed
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I get this error:

OSError: /usr/local/lib/python3.8/dist-packages/torch_sparse/_convert_cuda.so: undefined symbol: _ZNK2at6Tensor5zero_Ev

@rusty1s
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rusty1s commented Dec 17, 2021

Can you share the installation log?

@samahwaleed
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OSError                                   Traceback (most recent call last)
/tmp/ipykernel_1426/1575586248.py in <module>
      1 import torchvision.transforms as transforms
----> 2 from torch_geometric.data import Data
      3 import torch_geometric.transforms as T
      4 import networkx as nx
      5 import torch_geometric

/usr/local/lib/python3.8/dist-packages/torch_geometric/__init__.py in <module>
      5 from .debug import is_debug_enabled, debug, set_debug
      6 
----> 7 import torch_geometric.data
      8 import torch_geometric.loader
      9 import torch_geometric.transforms

/usr/local/lib/python3.8/dist-packages/torch_geometric/data/__init__.py in <module>
----> 1 from .data import Data
      2 from .hetero_data import HeteroData
      3 from .temporal import TemporalData
      4 from .batch import Batch
      5 from .dataset import Dataset

/usr/local/lib/python3.8/dist-packages/torch_geometric/data/data.py in <module>
      1 from typing import (Optional, Dict, Any, Union, List, Iterable, Tuple,
      2                     NamedTuple, Callable)
----> 3 from torch_geometric.typing import OptTensor, NodeType, EdgeType
      4 from torch_geometric.deprecation import deprecated
      5 

/usr/local/lib/python3.8/dist-packages/torch_geometric/typing.py in <module>
      2 
      3 from torch import Tensor
----> 4 from torch_sparse import SparseTensor
      5 
      6 # Types for accessing data ####################################################

/usr/local/lib/python3.8/dist-packages/torch_sparse/__init__.py in <module>
     13         '_relabel'
     14 ]:
---> 15     torch.ops.load_library(importlib.machinery.PathFinder().find_spec(
     16         f'{library}_{suffix}', [osp.dirname(__file__)]).origin)
     17 

/usr/local/lib/python3.8/dist-packages/torch/_ops.py in load_library(self, path)
    102             # static (global) initialization code in order to register custom
    103             # operators with the JIT.
--> 104             ctypes.CDLL(path)
    105         self.loaded_libraries.add(path)
    106 

/usr/lib/python3.8/ctypes/__init__.py in __init__(self, name, mode, handle, use_errno, use_last_error, winmode)
    371 
    372         if handle is None:
--> 373             self._handle = _dlopen(self._name, mode)
    374         else:
    375             self._handle = handle

OSError: /usr/local/lib/python3.8/dist-packages/torch_sparse/_version_cuda.so: undefined symbol: _ZN3c106detail23torchInternalAssertFailEPKcS2_jS2_S2_

@rusty1s
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rusty1s commented Dec 18, 2021

No, I mean the installation log of running, e.g.:

pip3 install --verbose torch-scatter

Any reason you do not wanna make use of our pre-built binaries via -f https://data.pyg.org/whl/torch-${TORCH}+${CUDA}.html?

@samahwaleed
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pip3 install --verbose torch-scatter

Using pip 21.3.1 from /usr/local/lib/python3.8/dist-packages/pip (python 3.8)
Requirement already satisfied: torch-scatter in /usr/local/lib/python3.8/dist-packages (2.0.9)

@rusty1s
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rusty1s commented Dec 21, 2021

Yeah, I think you need to re-install all previous versions first:

pip3 uninstall torch-scatter
pip3 uninstall torch-scatter
pip3 uninstall torch-scatter
pip3 install --verbose --no-cache-dir torch-scatter

@samahwaleed
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RuntimeError: Unexpected error from cudaGetDeviceCount(). Did you run some cuda functions before calling NumCudaDevices() that might have already set an error? Error 804: forward compatibility was attempted on non supported HW

@rusty1s
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rusty1s commented Dec 21, 2021

Can you show me the full installation log and some information about your system?

  • PyTorch version: (torch.__version__):
  • OS (e.g., Linux):
  • Python version (e.g., 3.9):
  • CUDA/cuDNN version:

@samahwaleed
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Collecting torch-scatter
  Using cached torch_scatter-2.0.9.tar.gz (21 kB)
Building wheels for collected packages: torch-scatter
  Building wheel for torch-scatter (setup.py) ... done
  Created wheel for torch-scatter: filename=torch_scatter-2.0.9-cp38-cp38-linux_x86_64.whl size=300260 sha256=68febd7fe031c3073f674fd3774c1dc3ebed8903e31ec925ff275a889d2d7272
  Stored in directory: /root/.cache/pip/wheels/7c/51/2a/409339f45a48bf748a5db76dfa11373ea7c883ecf1932eee2f
Successfully built torch-scatter
Installing collected packages: torch-scatter
Successfully installed torch-scatter-2.0.9
Collecting torch-sparse
  Using cached torch_sparse-0.6.12.tar.gz (43 kB)
Requirement already satisfied: scipy in /usr/local/lib/python3.8/dist-packages (from torch-sparse) (1.7.3)
Requirement already satisfied: numpy<1.23.0,>=1.16.5 in /usr/local/lib/python3.8/dist-packages (from scipy->torch-sparse) (1.21.3)
Building wheels for collected packages: torch-sparse
  Building wheel for torch-sparse (setup.py) ... done
  Created wheel for torch-sparse: filename=torch_sparse-0.6.12-cp38-cp38-linux_x86_64.whl size=567810 sha256=82617b5d1ebe0723193ffa36311bdd5f75a065ef4189e1b0caad0696c3852c50
  Stored in directory: /root/.cache/pip/wheels/a7/9e/8d/e1b4d02ba731d9114c97968700726b004c3c7fbae32327b682
Successfully built torch-sparse
Installing collected packages: torch-sparse
Successfully installed torch-sparse-0.6.12
Collecting torch-cluster
  Using cached torch_cluster-1.5.9.tar.gz (38 kB)
Building wheels for collected packages: torch-cluster
  Building wheel for torch-cluster (setup.py) ... done
  Created wheel for torch-cluster: filename=torch_cluster-1.5.9-cp38-cp38-linux_x86_64.whl size=350853 sha256=e5e5869b35a5066d44c718669d82510c30b3686661f7b13f77ad760c85a82a4e
  Stored in directory: /root/.cache/pip/wheels/11/d3/dd/a7f29ac7b1d7b064cffdf90dfedc6862fa33727efcc1057c02
Successfully built torch-cluster
Installing collected packages: torch-cluster
Successfully installed torch-cluster-1.5.9
Requirement already satisfied: torch-geometric in /usr/local/lib/python3.8/dist-packages (2.0.2)
Requirement already satisfied: requests in /usr/lib/python3/dist-packages (from torch-geometric) (2.22.0)
Requirement already satisfied: pyparsing in /usr/local/lib/python3.8/dist-packages (from torch-geometric) (2.4.7)
Requirement already satisfied: networkx in /usr/local/lib/python3.8/dist-packages (from torch-geometric) (2.6.3)
Requirement already satisfied: tqdm in /usr/local/lib/python3.8/dist-packages (from torch-geometric) (4.62.3)
Requirement already satisfied: numpy in /usr/local/lib/python3.8/dist-packages (from torch-geometric) (1.21.3)
Requirement already satisfied: googledrivedownloader in /usr/local/lib/python3.8/dist-packages (from torch-geometric) (0.4)
Requirement already satisfied: scikit-learn in /usr/local/lib/python3.8/dist-packages (from torch-geometric) (1.0.1)
Requirement already satisfied: jinja2 in /usr/local/lib/python3.8/dist-packages (from torch-geometric) (3.0.2)
Requirement already satisfied: PyYAML in /usr/local/lib/python3.8/dist-packages (from torch-geometric) (6.0)
Requirement already satisfied: pandas in /usr/local/lib/python3.8/dist-packages (from torch-geometric) (1.3.5)
Requirement already satisfied: yacs in /usr/local/lib/python3.8/dist-packages (from torch-geometric) (0.1.8)
Requirement already satisfied: rdflib in /usr/local/lib/python3.8/dist-packages (from torch-geometric) (6.1.1)
Requirement already satisfied: scipy in /usr/local/lib/python3.8/dist-packages (from torch-geometric) (1.7.3)
Requirement already satisfied: threadpoolctl>=2.0.0 in /usr/local/lib/python3.8/dist-packages (from scikit-learn->torch-geometric) (3.0.0)
Requirement already satisfied: joblib>=0.11 in /usr/local/lib/python3.8/dist-packages (from scikit-learn->torch-geometric) (1.1.0)
Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.8/dist-packages (from jinja2->torch-geometric) (2.0.1)
Requirement already satisfied: pytz>=2017.3 in /usr/local/lib/python3.8/dist-packages (from pandas->torch-geometric) (2021.3)
Requirement already satisfied: python-dateutil>=2.7.3 in /usr/local/lib/python3.8/dist-packages (from pandas->torch-geometric) (2.8.2)
Requirement already satisfied: isodate in /usr/local/lib/python3.8/dist-packages (from rdflib->torch-geometric) (0.6.1)
Requirement already satisfied: setuptools in /usr/local/lib/python3.8/dist-packages (from rdflib->torch-geometric) (58.5.2)
Requirement already satisfied: six>=1.5 in /usr/lib/python3/dist-packages (from python-dateutil>=2.7.3->pandas->torch-geometric) (1.14.0)
  • Pytorch version: 1.10.1+cu102
  • OS: Linux
  • Python version: Python 3.8.10
  • CUDA Version: 11.2

@rusty1s
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rusty1s commented Dec 21, 2021

Ok :) But that is not the installation log of pip3 install --verbose --no-cache-dir torch-scatter, right?

@samahwaleed
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It's the installation log for this:

!pip3 install torch-scatter
!pip3 install torch-sparse
!pip3 install torch-cluster
!pip3 install torch-spline-conv
!pip3 install torch-geometric

@samahwaleed
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By doing:

pip3 uninstall torch-scatter
pip3 uninstall torch-scatter
pip3 uninstall torch-scatter
pip3 install --verbose --no-cache-dir torch-scatter

I got:

WARNING: Skipping torch-scatter as it is not installed.
WARNING: Skipping torch-scatter as it is not installed.
WARNING: Skipping torch-scatter as it is not installed.
Using pip 20.2.4 from /usr/local/lib/python3.8/dist-packages/pip (python 3.8)
Non-user install because site-packages writeable
Created temporary directory: /tmp/pip-ephem-wheel-cache-mmc7zhdz
Created temporary directory: /tmp/pip-req-tracker-x9gdksqi
Initialized build tracking at /tmp/pip-req-tracker-x9gdksqi
Created build tracker: /tmp/pip-req-tracker-x9gdksqi
Entered build tracker: /tmp/pip-req-tracker-x9gdksqi
Created temporary directory: /tmp/pip-install-cdee6sib
1 location(s) to search for versions of torch-scatter:
* https://pypi.org/simple/torch-scatter/
Fetching project page and analyzing links: https://pypi.org/simple/torch-scatter/
Getting page https://pypi.org/simple/torch-scatter/
Found index url https://pypi.org/simple
Starting new HTTPS connection (1): pypi.org:443
https://pypi.org:443 "GET /simple/torch-scatter/ HTTP/1.1" 200 2084
  Found link https://files.pythonhosted.org/packages/29/96/566ac314e796d4b07209a3b88cc7a8d2e8582d55819e33f72e6c0e8d8216/torch_scatter-0.3.0.tar.gz#sha256=9e5e5a6efa4ef45f584e8611f83690d799370dd122b862646751ae112b685b50 (from https://pypi.org/simple/torch-scatter/), version: 0.3.0
  Found link https://files.pythonhosted.org/packages/6a/b0/ecffacddf573c147c70c6e43ce05d24f007155ce3fb436959d3d2a24da46/torch_scatter-1.0.2.tar.gz#sha256=ccda794c25265b3450206b7fb0bf74f16a0b45f3f72d9547a42e44648a32faee (from https://pypi.org/simple/torch-scatter/), version: 1.0.2
  Found link https://files.pythonhosted.org/packages/08/09/07b106f3e74246f4ecf6517013a053b6dd7486c4f889d81f39adc662431f/torch_scatter-1.0.3.tar.gz#sha256=e626993194819ba65cdf89a52fbbb7780569d9e157bc63dbef13ead6b7a33930 (from https://pypi.org/simple/torch-scatter/), version: 1.0.3
  Found link https://files.pythonhosted.org/packages/2d/70/df2bc259d9606f00854ca43b6839f9047ec44900563435e0067584c93864/torch_scatter-1.0.4.tar.gz#sha256=ec004d687e47da9d5477407849d815629fc8b571ee87aeeebf6af8ed6f16defc (from https://pypi.org/simple/torch-scatter/), version: 1.0.4
  Found link https://files.pythonhosted.org/packages/2f/97/c50a6aeaedc6924180c6f5810d2a7405ce11aa9b82ba4284badad549d665/torch_scatter-1.1.0.tar.gz#sha256=e534cc2ecb2f9d9b559b1513cd411737d26ea5585d1d65ff571fec55f42a49de (from https://pypi.org/simple/torch-scatter/), version: 1.1.0
  Found link https://files.pythonhosted.org/packages/91/5f/eb1d3ef3810cb1165859d40db4d9ee6d7f1dfef97d7e5c34010055f43d95/torch_scatter-1.1.1.tar.gz#sha256=9db7f2c0a5cddf6cfde633e33db7c2c94eaab163e9f8edb46460d6414cc97917 (from https://pypi.org/simple/torch-scatter/), version: 1.1.1
  Found link https://files.pythonhosted.org/packages/d4/83/67eeea00c2db1959e2ff95d8680dbd756977bfab254bda8658f09dc3bc11/torch_scatter-1.1.2.tar.gz#sha256=766c2476f5da5ffc25fa8e249ccf50f594031cdce3922abb23559e8e3b14337a (from https://pypi.org/simple/torch-scatter/), version: 1.1.2
  Found link https://files.pythonhosted.org/packages/07/c0/f7ac424496f4a3bcb31aa993fba29077a6d42fc2624c66e90b58a566a98e/torch_scatter-1.2.0.tar.gz#sha256=3a0259105d07d264c740eec8e4267260a5c144cf55472abd26022fff4fd73281 (from https://pypi.org/simple/torch-scatter/), version: 1.2.0
  Found link https://files.pythonhosted.org/packages/24/b7/680c3b392a4b55a0ebfb480aabb0d5c188e94bb21790104175c8cd614947/torch_scatter-1.3.0.tar.gz#sha256=bf7d561b8ef12b39a99f5797c90b989a0ce2c3ee4de74dff3b170f2d8566e1d4 (from https://pypi.org/simple/torch-scatter/), version: 1.3.0
  Found link https://files.pythonhosted.org/packages/35/d4/750403a8aa32cdb3d2d05849c6a10e4e0604de5e0cc94b81a0d0d69a75f3/torch_scatter-1.3.1.tar.gz#sha256=54cbad248350165ddc921ded3fe7a69be5d30c6536273a1a3282e375289f86ec (from https://pypi.org/simple/torch-scatter/), version: 1.3.1
  Found link https://files.pythonhosted.org/packages/30/d9/1d5fd4d183dabd9e0a1f7008ecf83318432359f4cc27480e3f2212f44d9c/torch_scatter-1.3.2.tar.gz#sha256=890e8f9da2d57431912182960b71bf6c56397de42c2464907a6e9c583164bf06 (from https://pypi.org/simple/torch-scatter/), version: 1.3.2
  Found link https://files.pythonhosted.org/packages/b8/c3/8bad887ffa55c86f120ef5ae252dc0e357b3bd956d9fbf45242bacc46290/torch_scatter-1.4.0.tar.gz#sha256=5999ef256154e5a99445118c1a53f95cf0f95ef7b5cd8d3b256101125479cc2e (from https://pypi.org/simple/torch-scatter/), version: 1.4.0
  Found link https://files.pythonhosted.org/packages/28/f7/fa4e61587169924203a32416f7835939fdd79994eaa429b4f8ef8f0e07e2/torch_scatter-2.0.2.tar.gz#sha256=49d3059b7be93d3f2c328fdc6daa3a8479e3dc4a50c8247aef913177122db671 (from https://pypi.org/simple/torch-scatter/), version: 2.0.2
  Found link https://files.pythonhosted.org/packages/36/2a/ef3d841ec577e2231662ef86af983c6c7c7d509a0e1d9f12949d0218b492/torch_scatter-2.0.3.tar.gz#sha256=1c4b9cb0f6a195c20d8c4b6230d086cae6965b7eb08f80bd2ec050a094b8e563 (from https://pypi.org/simple/torch-scatter/) (requires-python:>=3.6), version: 2.0.3
  Found link https://files.pythonhosted.org/packages/98/a9/47cd92673b6ba251240d587815c763baac2099b07bb76fecdb3b7ae5cece/torch_scatter-2.0.4.tar.gz#sha256=db6c9eca919b86f3eb6102dd0e1215af72e39ed3a4e8d142e6a21d3f20d5c244 (from https://pypi.org/simple/torch-scatter/) (requires-python:>=3.6), version: 2.0.4
  Found link https://files.pythonhosted.org/packages/01/45/cd93ed3227248773ba8bc4b3beaa04e8bddb127a793a41bad875369951b3/torch_scatter-2.0.5.tar.gz#sha256=148fbe634fb9e9465dbde2ab337138f63650ed8abbac42bb3f565e3fe92e9b2f (from https://pypi.org/simple/torch-scatter/) (requires-python:>=3.6), version: 2.0.5
  Found link https://files.pythonhosted.org/packages/91/26/f2f0767a0e72c38d5d17f53117deb8aaafaf58f4ad658cee56cd5158c979/torch_scatter-2.0.6.tar.gz#sha256=2c664656a6c006d5221b2d51ce51eca0bbf39e85a180fdd6d3ad42cb28b5a536 (from https://pypi.org/simple/torch-scatter/) (requires-python:>=3.6), version: 2.0.6
  Found link https://files.pythonhosted.org/packages/fa/d1/0bade0c3b9222710528de0458ad48407dab46efd7ad3d4fd1be82b68ac2b/torch_scatter-2.0.7.tar.gz#sha256=369184948c838f756eea10464a3fbf8e103e22dc94d7045dbab85b5748bf85f9 (from https://pypi.org/simple/torch-scatter/) (requires-python:>=3.6), version: 2.0.7
  Found link https://files.pythonhosted.org/packages/a9/f0/cc0249cc963e50ea6d00f06a1930f84beebe37cf5ca83fbb50169d7e715a/torch_scatter-2.0.8.tar.gz#sha256=d71aab489b5288a6c96e9f9a7c9e13c54774dcb55a99a40e6cd1aca8be9ef3e6 (from https://pypi.org/simple/torch-scatter/) (requires-python:>=3.6), version: 2.0.8
  Found link https://files.pythonhosted.org/packages/1b/a0/6e44e887eb7fff78a9642035fe9662fc22c850a377369a52f308dd553104/torch_scatter-2.0.9.tar.gz#sha256=08f5511d64473badf0a71d156b36dc2b09b9c2f00a7cd373b935b490c477a7f1 (from https://pypi.org/simple/torch-scatter/) (requires-python:>=3.6), version: 2.0.9
Given no hashes to check 20 links for project 'torch-scatter': discarding no candidates
Using version 2.0.9 (newest of versions: 0.3.0, 1.0.2, 1.0.3, 1.0.4, 1.1.0, 1.1.1, 1.1.2, 1.2.0, 1.3.0, 1.3.1, 1.3.2, 1.4.0, 2.0.2, 2.0.3, 2.0.4, 2.0.5, 2.0.6, 2.0.7, 2.0.8, 2.0.9)
Collecting torch-scatter
  Created temporary directory: /tmp/pip-unpack-a5y41d7b
  Starting new HTTPS connection (1): files.pythonhosted.org:443
  https://files.pythonhosted.org:443 "GET /packages/1b/a0/6e44e887eb7fff78a9642035fe9662fc22c850a377369a52f308dd553104/torch_scatter-2.0.9.tar.gz HTTP/1.1" 200 21997
  Downloading torch_scatter-2.0.9.tar.gz (21 kB)
  Added torch-scatter from https://files.pythonhosted.org/packages/1b/a0/6e44e887eb7fff78a9642035fe9662fc22c850a377369a52f308dd553104/torch_scatter-2.0.9.tar.gz#sha256=08f5511d64473badf0a71d156b36dc2b09b9c2f00a7cd373b935b490c477a7f1 to build tracker '/tmp/pip-req-tracker-x9gdksqi'
    Running setup.py (path:/tmp/pip-install-cdee6sib/torch-scatter/setup.py) egg_info for package torch-scatter
    Created temporary directory: /tmp/pip-pip-egg-info-qkvjr81v
    Running command python setup.py egg_info
    No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
    running egg_info
    creating /tmp/pip-pip-egg-info-qkvjr81v/torch_scatter.egg-info
    writing /tmp/pip-pip-egg-info-qkvjr81v/torch_scatter.egg-info/PKG-INFO
    writing dependency_links to /tmp/pip-pip-egg-info-qkvjr81v/torch_scatter.egg-info/dependency_links.txt
    writing requirements to /tmp/pip-pip-egg-info-qkvjr81v/torch_scatter.egg-info/requires.txt
    writing top-level names to /tmp/pip-pip-egg-info-qkvjr81v/torch_scatter.egg-info/top_level.txt
    writing manifest file '/tmp/pip-pip-egg-info-qkvjr81v/torch_scatter.egg-info/SOURCES.txt'
    reading manifest file '/tmp/pip-pip-egg-info-qkvjr81v/torch_scatter.egg-info/SOURCES.txt'
    reading manifest template 'MANIFEST.in'
    /usr/local/lib/python3.8/dist-packages/torch/cuda/__init__.py:80: UserWarning: CUDA initialization: Unexpected error from cudaGetDeviceCount(). Did you run some cuda functions before calling NumCudaDevices() that might have already set an error? Error 804: forward compatibility was attempted on non supported HW (Triggered internally at  ../c10/cuda/CUDAFunctions.cpp:112.)
      return torch._C._cuda_getDeviceCount() > 0
    /usr/local/lib/python3.8/dist-packages/setuptools/dist.py:717: UserWarning: Usage of dash-separated 'description-file' will not be supported in future versions. Please use the underscore name 'description_file' instead
      warnings.warn(
    warning: no previously-included files matching '*' found under directory 'test'
    adding license file 'LICENSE'
    writing manifest file '/tmp/pip-pip-egg-info-qkvjr81v/torch_scatter.egg-info/SOURCES.txt'
  Source in /tmp/pip-install-cdee6sib/torch-scatter has version 2.0.9, which satisfies requirement torch-scatter from https://files.pythonhosted.org/packages/1b/a0/6e44e887eb7fff78a9642035fe9662fc22c850a377369a52f308dd553104/torch_scatter-2.0.9.tar.gz#sha256=08f5511d64473badf0a71d156b36dc2b09b9c2f00a7cd373b935b490c477a7f1
  Removed torch-scatter from https://files.pythonhosted.org/packages/1b/a0/6e44e887eb7fff78a9642035fe9662fc22c850a377369a52f308dd553104/torch_scatter-2.0.9.tar.gz#sha256=08f5511d64473badf0a71d156b36dc2b09b9c2f00a7cd373b935b490c477a7f1 from build tracker '/tmp/pip-req-tracker-x9gdksqi'
Building wheels for collected packages: torch-scatter
  Created temporary directory: /tmp/pip-wheel-tw95uq26
  Building wheel for torch-scatter (setup.py) ...   Destination directory: /tmp/pip-wheel-tw95uq26
  Running command /usr/bin/python3 -u -c 'import sys, setuptools, tokenize; sys.argv[0] = '"'"'/tmp/pip-install-cdee6sib/torch-scatter/setup.py'"'"'; __file__='"'"'/tmp/pip-install-cdee6sib/torch-scatter/setup.py'"'"';f=getattr(tokenize, '"'"'open'"'"', open)(__file__);code=f.read().replace('"'"'\r\n'"'"', '"'"'\n'"'"');f.close();exec(compile(code, __file__, '"'"'exec'"'"'))' bdist_wheel -d /tmp/pip-wheel-tw95uq26
  /usr/local/lib/python3.8/dist-packages/torch/cuda/__init__.py:80: UserWarning: CUDA initialization: Unexpected error from cudaGetDeviceCount(). Did you run some cuda functions before calling NumCudaDevices() that might have already set an error? Error 804: forward compatibility was attempted on non supported HW (Triggered internally at  ../c10/cuda/CUDAFunctions.cpp:112.)
    return torch._C._cuda_getDeviceCount() > 0
  No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
  /usr/local/lib/python3.8/dist-packages/setuptools/dist.py:717: UserWarning: Usage of dash-separated 'description-file' will not be supported in future versions. Please use the underscore name 'description_file' instead
    warnings.warn(
  running bdist_wheel
  running build
  running build_py
  creating build
  creating build/lib.linux-x86_64-3.8
  creating build/lib.linux-x86_64-3.8/torch_scatter
  copying torch_scatter/__init__.py -> build/lib.linux-x86_64-3.8/torch_scatter
  copying torch_scatter/placeholder.py -> build/lib.linux-x86_64-3.8/torch_scatter
  copying torch_scatter/scatter.py -> build/lib.linux-x86_64-3.8/torch_scatter
  copying torch_scatter/segment_coo.py -> build/lib.linux-x86_64-3.8/torch_scatter
  copying torch_scatter/segment_csr.py -> build/lib.linux-x86_64-3.8/torch_scatter
  copying torch_scatter/utils.py -> build/lib.linux-x86_64-3.8/torch_scatter
  creating build/lib.linux-x86_64-3.8/torch_scatter/composite
  copying torch_scatter/composite/__init__.py -> build/lib.linux-x86_64-3.8/torch_scatter/composite
  copying torch_scatter/composite/logsumexp.py -> build/lib.linux-x86_64-3.8/torch_scatter/composite
  copying torch_scatter/composite/softmax.py -> build/lib.linux-x86_64-3.8/torch_scatter/composite
  copying torch_scatter/composite/std.py -> build/lib.linux-x86_64-3.8/torch_scatter/composite
  running build_ext
  building 'torch_scatter._scatter_cpu' extension
  creating build/temp.linux-x86_64-3.8
  creating build/temp.linux-x86_64-3.8/csrc
  creating build/temp.linux-x86_64-3.8/csrc/cpu
  x86_64-linux-gnu-gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -g -fwrapv -O2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Icsrc -I/usr/local/lib/python3.8/dist-packages/torch/include -I/usr/local/lib/python3.8/dist-packages/torch/include/torch/csrc/api/include -I/usr/local/lib/python3.8/dist-packages/torch/include/TH -I/usr/local/lib/python3.8/dist-packages/torch/include/THC -I/usr/include/python3.8 -c csrc/scatter.cpp -o build/temp.linux-x86_64-3.8/csrc/scatter.o -O2 -DAT_PARALLEL_OPENMP -fopenmp -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE="_gcc" -DPYBIND11_STDLIB="_libstdcpp" -DPYBIND11_BUILD_ABI="_cxxabi1011" -DTORCH_EXTENSION_NAME=_scatter_cpu -D_GLIBCXX_USE_CXX11_ABI=0 -std=c++14
  x86_64-linux-gnu-gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -g -fwrapv -O2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Icsrc -I/usr/local/lib/python3.8/dist-packages/torch/include -I/usr/local/lib/python3.8/dist-packages/torch/include/torch/csrc/api/include -I/usr/local/lib/python3.8/dist-packages/torch/include/TH -I/usr/local/lib/python3.8/dist-packages/torch/include/THC -I/usr/include/python3.8 -c csrc/cpu/scatter_cpu.cpp -o build/temp.linux-x86_64-3.8/csrc/cpu/scatter_cpu.o -O2 -DAT_PARALLEL_OPENMP -fopenmp -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE="_gcc" -DPYBIND11_STDLIB="_libstdcpp" -DPYBIND11_BUILD_ABI="_cxxabi1011" -DTORCH_EXTENSION_NAME=_scatter_cpu -D_GLIBCXX_USE_CXX11_ABI=0 -std=c++14
  x86_64-linux-gnu-g++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -g -fwrapv -O2 -Wl,-Bsymbolic-functions -Wl,-z,relro -g -fwrapv -O2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-x86_64-3.8/csrc/scatter.o build/temp.linux-x86_64-3.8/csrc/cpu/scatter_cpu.o -L/usr/local/lib/python3.8/dist-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-3.8/torch_scatter/_scatter_cpu.so -s
  building 'torch_scatter._segment_coo_cpu' extension
  x86_64-linux-gnu-gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -g -fwrapv -O2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Icsrc -I/usr/local/lib/python3.8/dist-packages/torch/include -I/usr/local/lib/python3.8/dist-packages/torch/include/torch/csrc/api/include -I/usr/local/lib/python3.8/dist-packages/torch/include/TH -I/usr/local/lib/python3.8/dist-packages/torch/include/THC -I/usr/include/python3.8 -c csrc/segment_coo.cpp -o build/temp.linux-x86_64-3.8/csrc/segment_coo.o -O2 -DAT_PARALLEL_OPENMP -fopenmp -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE="_gcc" -DPYBIND11_STDLIB="_libstdcpp" -DPYBIND11_BUILD_ABI="_cxxabi1011" -DTORCH_EXTENSION_NAME=_segment_coo_cpu -D_GLIBCXX_USE_CXX11_ABI=0 -std=c++14
  x86_64-linux-gnu-gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -g -fwrapv -O2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Icsrc -I/usr/local/lib/python3.8/dist-packages/torch/include -I/usr/local/lib/python3.8/dist-packages/torch/include/torch/csrc/api/include -I/usr/local/lib/python3.8/dist-packages/torch/include/TH -I/usr/local/lib/python3.8/dist-packages/torch/include/THC -I/usr/include/python3.8 -c csrc/cpu/segment_coo_cpu.cpp -o build/temp.linux-x86_64-3.8/csrc/cpu/segment_coo_cpu.o -O2 -DAT_PARALLEL_OPENMP -fopenmp -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE="_gcc" -DPYBIND11_STDLIB="_libstdcpp" -DPYBIND11_BUILD_ABI="_cxxabi1011" -DTORCH_EXTENSION_NAME=_segment_coo_cpu -D_GLIBCXX_USE_CXX11_ABI=0 -std=c++14
  x86_64-linux-gnu-g++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -g -fwrapv -O2 -Wl,-Bsymbolic-functions -Wl,-z,relro -g -fwrapv -O2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-x86_64-3.8/csrc/segment_coo.o build/temp.linux-x86_64-3.8/csrc/cpu/segment_coo_cpu.o -L/usr/local/lib/python3.8/dist-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-3.8/torch_scatter/_segment_coo_cpu.so -s
  building 'torch_scatter._segment_csr_cpu' extension
  x86_64-linux-gnu-gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -g -fwrapv -O2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Icsrc -I/usr/local/lib/python3.8/dist-packages/torch/include -I/usr/local/lib/python3.8/dist-packages/torch/include/torch/csrc/api/include -I/usr/local/lib/python3.8/dist-packages/torch/include/TH -I/usr/local/lib/python3.8/dist-packages/torch/include/THC -I/usr/include/python3.8 -c csrc/segment_csr.cpp -o build/temp.linux-x86_64-3.8/csrc/segment_csr.o -O2 -DAT_PARALLEL_OPENMP -fopenmp -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE="_gcc" -DPYBIND11_STDLIB="_libstdcpp" -DPYBIND11_BUILD_ABI="_cxxabi1011" -DTORCH_EXTENSION_NAME=_segment_csr_cpu -D_GLIBCXX_USE_CXX11_ABI=0 -std=c++14
  x86_64-linux-gnu-gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -g -fwrapv -O2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Icsrc -I/usr/local/lib/python3.8/dist-packages/torch/include -I/usr/local/lib/python3.8/dist-packages/torch/include/torch/csrc/api/include -I/usr/local/lib/python3.8/dist-packages/torch/include/TH -I/usr/local/lib/python3.8/dist-packages/torch/include/THC -I/usr/include/python3.8 -c csrc/cpu/segment_csr_cpu.cpp -o build/temp.linux-x86_64-3.8/csrc/cpu/segment_csr_cpu.o -O2 -DAT_PARALLEL_OPENMP -fopenmp -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE="_gcc" -DPYBIND11_STDLIB="_libstdcpp" -DPYBIND11_BUILD_ABI="_cxxabi1011" -DTORCH_EXTENSION_NAME=_segment_csr_cpu -D_GLIBCXX_USE_CXX11_ABI=0 -std=c++14
  x86_64-linux-gnu-g++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -g -fwrapv -O2 -Wl,-Bsymbolic-functions -Wl,-z,relro -g -fwrapv -O2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-x86_64-3.8/csrc/segment_csr.o build/temp.linux-x86_64-3.8/csrc/cpu/segment_csr_cpu.o -L/usr/local/lib/python3.8/dist-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-3.8/torch_scatter/_segment_csr_cpu.so -s
  building 'torch_scatter._version_cpu' extension
  x86_64-linux-gnu-gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -g -fwrapv -O2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Icsrc -I/usr/local/lib/python3.8/dist-packages/torch/include -I/usr/local/lib/python3.8/dist-packages/torch/include/torch/csrc/api/include -I/usr/local/lib/python3.8/dist-packages/torch/include/TH -I/usr/local/lib/python3.8/dist-packages/torch/include/THC -I/usr/include/python3.8 -c csrc/version.cpp -o build/temp.linux-x86_64-3.8/csrc/version.o -O2 -DAT_PARALLEL_OPENMP -fopenmp -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE="_gcc" -DPYBIND11_STDLIB="_libstdcpp" -DPYBIND11_BUILD_ABI="_cxxabi1011" -DTORCH_EXTENSION_NAME=_version_cpu -D_GLIBCXX_USE_CXX11_ABI=0 -std=c++14
  x86_64-linux-gnu-g++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -g -fwrapv -O2 -Wl,-Bsymbolic-functions -Wl,-z,relro -g -fwrapv -O2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-x86_64-3.8/csrc/version.o -L/usr/local/lib/python3.8/dist-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-3.8/torch_scatter/_version_cpu.so -s
  /usr/local/lib/python3.8/dist-packages/setuptools/command/install.py:34: SetuptoolsDeprecationWarning: setup.py install is deprecated. Use build and pip and other standards-based tools.
    warnings.warn(
  installing to build/bdist.linux-x86_64/wheel
  running install
  running install_lib
  creating build/bdist.linux-x86_64
  creating build/bdist.linux-x86_64/wheel
  creating build/bdist.linux-x86_64/wheel/torch_scatter
  copying build/lib.linux-x86_64-3.8/torch_scatter/__init__.py -> build/bdist.linux-x86_64/wheel/torch_scatter
  copying build/lib.linux-x86_64-3.8/torch_scatter/placeholder.py -> build/bdist.linux-x86_64/wheel/torch_scatter
  copying build/lib.linux-x86_64-3.8/torch_scatter/scatter.py -> build/bdist.linux-x86_64/wheel/torch_scatter
  copying build/lib.linux-x86_64-3.8/torch_scatter/segment_coo.py -> build/bdist.linux-x86_64/wheel/torch_scatter
  copying build/lib.linux-x86_64-3.8/torch_scatter/segment_csr.py -> build/bdist.linux-x86_64/wheel/torch_scatter
  copying build/lib.linux-x86_64-3.8/torch_scatter/utils.py -> build/bdist.linux-x86_64/wheel/torch_scatter
  creating build/bdist.linux-x86_64/wheel/torch_scatter/composite
  copying build/lib.linux-x86_64-3.8/torch_scatter/composite/__init__.py -> build/bdist.linux-x86_64/wheel/torch_scatter/composite
  copying build/lib.linux-x86_64-3.8/torch_scatter/composite/logsumexp.py -> build/bdist.linux-x86_64/wheel/torch_scatter/composite
  copying build/lib.linux-x86_64-3.8/torch_scatter/composite/softmax.py -> build/bdist.linux-x86_64/wheel/torch_scatter/composite
  copying build/lib.linux-x86_64-3.8/torch_scatter/composite/std.py -> build/bdist.linux-x86_64/wheel/torch_scatter/composite
  copying build/lib.linux-x86_64-3.8/torch_scatter/_scatter_cpu.so -> build/bdist.linux-x86_64/wheel/torch_scatter
  copying build/lib.linux-x86_64-3.8/torch_scatter/_segment_coo_cpu.so -> build/bdist.linux-x86_64/wheel/torch_scatter
  copying build/lib.linux-x86_64-3.8/torch_scatter/_segment_csr_cpu.so -> build/bdist.linux-x86_64/wheel/torch_scatter
  copying build/lib.linux-x86_64-3.8/torch_scatter/_version_cpu.so -> build/bdist.linux-x86_64/wheel/torch_scatter
  running install_egg_info
  running egg_info
  writing torch_scatter.egg-info/PKG-INFO
  writing dependency_links to torch_scatter.egg-info/dependency_links.txt
  writing requirements to torch_scatter.egg-info/requires.txt
  writing top-level names to torch_scatter.egg-info/top_level.txt
  reading manifest file 'torch_scatter.egg-info/SOURCES.txt'
  reading manifest template 'MANIFEST.in'
  warning: no previously-included files matching '*' found under directory 'test'
  adding license file 'LICENSE'
  writing manifest file 'torch_scatter.egg-info/SOURCES.txt'
  Copying torch_scatter.egg-info to build/bdist.linux-x86_64/wheel/torch_scatter-2.0.9-py3.8.egg-info
  running install_scripts
  adding license file "LICENSE" (matched pattern "LICEN[CS]E*")
  creating build/bdist.linux-x86_64/wheel/torch_scatter-2.0.9.dist-info/WHEEL
  creating '/tmp/pip-wheel-tw95uq26/torch_scatter-2.0.9-cp38-cp38-linux_x86_64.whl' and adding 'build/bdist.linux-x86_64/wheel' to it
  adding 'torch_scatter/__init__.py'
  adding 'torch_scatter/_scatter_cpu.so'
  adding 'torch_scatter/_segment_coo_cpu.so'
  adding 'torch_scatter/_segment_csr_cpu.so'
  adding 'torch_scatter/_version_cpu.so'
  adding 'torch_scatter/placeholder.py'
  adding 'torch_scatter/scatter.py'
  adding 'torch_scatter/segment_coo.py'
  adding 'torch_scatter/segment_csr.py'
  adding 'torch_scatter/utils.py'
  adding 'torch_scatter/composite/__init__.py'
  adding 'torch_scatter/composite/logsumexp.py'
  adding 'torch_scatter/composite/softmax.py'
  adding 'torch_scatter/composite/std.py'
  adding 'torch_scatter-2.0.9.dist-info/LICENSE'
  adding 'torch_scatter-2.0.9.dist-info/METADATA'
  adding 'torch_scatter-2.0.9.dist-info/WHEEL'
  adding 'torch_scatter-2.0.9.dist-info/top_level.txt'
  adding 'torch_scatter-2.0.9.dist-info/RECORD'
  removing build/bdist.linux-x86_64/wheel
done
  Created wheel for torch-scatter: filename=torch_scatter-2.0.9-cp38-cp38-linux_x86_64.whl size=300260 sha256=f22a287ba8dfce7d90bb5bc10c0c5bcb6032c17efc15bae69fb3daca7a0e5a5f
  Stored in directory: /tmp/pip-ephem-wheel-cache-mmc7zhdz/wheels/7c/51/2a/409339f45a48bf748a5db76dfa11373ea7c883ecf1932eee2f
Successfully built torch-scatter
Installing collected packages: torch-scatter

Successfully installed torch-scatter-2.0.9
1 location(s) to search for versions of pip:
* https://pypi.org/simple/pip/
Fetching project page and analyzing links: https://pypi.org/simple/pip/
Getting page https://pypi.org/simple/pip/
Found index url https://pypi.org/simple
Starting new HTTPS connection (1): pypi.org:443
https://pypi.org:443 "GET /simple/pip/ HTTP/1.1" 200 18015
  Found link https://files.pythonhosted.org/packages/3d/9d/1e313763bdfb6a48977b65829c6ce2a43eaae29ea2f907c8bbef024a7219/pip-0.2.tar.gz#sha256=88bb8d029e1bf4acd0e04d300104b7440086f94cc1ce1c5c3c31e3293aee1f81 (from https://pypi.org/simple/pip/), version: 0.2
  Found link https://files.pythonhosted.org/packages/18/ad/c0fe6cdfe1643a19ef027c7168572dac6283b80a384ddf21b75b921877da/pip-0.2.1.tar.gz#sha256=83522005c1266cc2de97e65072ff7554ac0f30ad369c3b02ff3a764b962048da (from https://pypi.org/simple/pip/), version: 0.2.1
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  Found link https://files.pythonhosted.org/packages/cf/c3/153571aaac6cf999f4bb09c019b1ff379b7b599ea833813a41c784eec995/pip-0.4.tar.gz#sha256=28fc67558874f71fddda7168f73595f1650523dce3bc5bf189713ecdfc1e456e (from https://pypi.org/simple/pip/), version: 0.4
  Found link https://files.pythonhosted.org/packages/8d/c7/f05c87812fa5d9562ecbc5f4f1fc1570444f53c81c834a7f662af406e3c1/pip-0.5.tar.gz#sha256=328d8412782f22568508a0d0c78a49c9920a82e44c8dfca49954fe525c152b2a (from https://pypi.org/simple/pip/), version: 0.5
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@samahwaleed
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Thank you Sir, everything is working fine now!

@samahwaleed
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I just get an error when I run the GCN code:

---------------------------------------------------------------------------
RuntimeError                              Traceback (most recent call last)
/tmp/ipykernel_4864/2851628657.py in <module>
    123 
    124 if __name__=="__main__":
--> 125     main()

/tmp/ipykernel_4864/2851628657.py in main()
     50     data_list = load_data_graph(data_size=data_size)
     51     device = torch.device('cuda')
---> 52     model = Net().to(device)
     53 
     54 

/usr/local/lib/python3.8/dist-packages/torch/nn/modules/module.py in to(self, *args, **kwargs)
    897             return t.to(device, dtype if t.is_floating_point() or t.is_complex() else None, non_blocking)
    898 
--> 899         return self._apply(convert)
    900 
    901     def register_backward_hook(

/usr/local/lib/python3.8/dist-packages/torch/nn/modules/module.py in _apply(self, fn)
    568     def _apply(self, fn):
    569         for module in self.children():
--> 570             module._apply(fn)
    571 
    572         def compute_should_use_set_data(tensor, tensor_applied):

/usr/local/lib/python3.8/dist-packages/torch/nn/modules/module.py in _apply(self, fn)
    568     def _apply(self, fn):
    569         for module in self.children():
--> 570             module._apply(fn)
    571 
    572         def compute_should_use_set_data(tensor, tensor_applied):

/usr/local/lib/python3.8/dist-packages/torch/nn/modules/module.py in _apply(self, fn)
    591             # `with torch.no_grad():`
    592             with torch.no_grad():
--> 593                 param_applied = fn(param)
    594             should_use_set_data = compute_should_use_set_data(param, param_applied)
    595             if should_use_set_data:

/usr/local/lib/python3.8/dist-packages/torch/nn/modules/module.py in convert(t)
    895                 return t.to(device, dtype if t.is_floating_point() or t.is_complex() else None,
    896                             non_blocking, memory_format=convert_to_format)
--> 897             return t.to(device, dtype if t.is_floating_point() or t.is_complex() else None, non_blocking)
    898 
    899         return self._apply(convert)

/usr/local/lib/python3.8/dist-packages/torch/cuda/__init__.py in _lazy_init()
    212         # This function throws if there's a driver initialization error, no GPUs
    213         # are found or any other error occurs
--> 214         torch._C._cuda_init()
    215         # Some of the queued calls may reentrantly call _lazy_init();
    216         # we need to just return without initializing in that case.

RuntimeError: Unexpected error from cudaGetDeviceCount(). Did you run some cuda functions before calling NumCudaDevices() that might have already set an error? Error 804: forward compatibility was attempted on non supported HW

@rusty1s
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rusty1s commented Dec 22, 2021

Does this help? https://stackoverflow.com/questions/66371130/cuda-initialization-unexpected-error-from-cudagetdevicecount

@samahwaleed
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No, still I have the same issue

@samahwaleed
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Sir, by doing:
! python -c "import torch; print(torch.cuda.is_available())"

I got:

/usr/local/lib/python3.8/dist-packages/torch/cuda/__init__.py:80: UserWarning: CUDA initialization: Unexpected error from cudaGetDeviceCount(). Did you run some cuda functions before calling NumCudaDevices() that might have already set an error? Error 804: forward compatibility was attempted on non supported HW (Triggered internally at  ../c10/cuda/CUDAFunctions.cpp:112.)
  return torch._C._cuda_getDeviceCount() > 0
False

@rusty1s
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rusty1s commented Dec 23, 2021

This looks like a PyTorch issue to me, not sure what happened :)

@samahwaleed
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what about this error Sir,

AttributeError                            Traceback (most recent call last)
/tmp/ipykernel_61/1864648721.py in <module>
      1 import torchvision.transforms as transforms
----> 2 from torch_geometric.data import Data
      3 import torch_geometric.transforms as T
      4 import networkx as nx
      5 import torch_geometric

/usr/local/lib/python3.8/dist-packages/torch_geometric/__init__.py in <module>
      2 from importlib import import_module
      3 
----> 4 import torch_geometric.data
      5 import torch_geometric.loader
      6 import torch_geometric.transforms

/usr/local/lib/python3.8/dist-packages/torch_geometric/data/__init__.py in <module>
----> 1 from .data import Data
      2 from .hetero_data import HeteroData
      3 from .temporal import TemporalData
      4 from .batch import Batch
      5 from .dataset import Dataset

/usr/local/lib/python3.8/dist-packages/torch_geometric/data/data.py in <module>
      1 from typing import (Optional, Dict, Any, Union, List, Iterable, Tuple,
      2                     NamedTuple, Callable)
----> 3 from torch_geometric.typing import OptTensor, NodeType, EdgeType
      4 from torch_geometric.deprecation import deprecated
      5 

/usr/local/lib/python3.8/dist-packages/torch_geometric/typing.py in <module>
      2 
      3 from torch import Tensor
----> 4 from torch_sparse import SparseTensor
      5 
      6 # Types for accessing data ####################################################

/usr/local/lib/python3.8/dist-packages/torch_sparse/__init__.py in <module>
     12         '_saint', '_sample', '_relabel'
     13 ]:
---> 14     torch.ops.load_library(importlib.machinery.PathFinder().find_spec(
     15         f'{library}_{suffix}', [osp.dirname(__file__)]).origin)
     16 

AttributeError: 'NoneType' object has no attribute 'origin'

@rusty1s
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rusty1s commented Dec 23, 2021

This error indicates that there was an error during installation, and the binaries could not be found. At this point, I'm not exactly sure which problem needs to be solved first. Have you resolved the torch._C._cuda_getDeviceCount() > 0 already?

@samahwaleed
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No :). I just try on another GPU but I still can't install the torch well. Most of the GPU shows me this error:

RuntimeError:
   The detected CUDA version (11.2) mismatches the version that was used to compile
   PyTorch (10.2). Please make sure to use the same CUDA versions.

@rusty1s
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rusty1s commented Dec 23, 2021 •
edited
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Yes, I tried to answer that in rusty1s/pytorch_sparse#189. Manual installation is sadly pretty challenging, and you need to ensure that the PyTorch CUDA and local CUDA versions match. As a result, it's probably best to install from wheels and ensure that you are pointing to the CUDA version installed by PyTorch/Conda:

conda install pytorch=... cudatoolkit=... -c pytorch

export LD_LIBRARY_PATH="...:$LD_LIBRARY_PATH"  # Add the path to the cudatoolkit installed by conda

pip install torch-scatter -f ...

(see here)

@samahwaleed
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Thank you Sir :). My problem is solved.
By doing:

!pip3 install torch==1.10.1+cu113 torchvision==0.11.2+cu113 torchaudio==0.10.1+cu113 -f https://download.pytorch.org/whl/cu113/torch_stable.html
!pip3 install torch-scatter -f https://data.pyg.org/whl/torch-1.10.0+cu113.html
!pip3 install torch-scatter torch-sparse -f https://data.pyg.org/whl/torch-1.10.0+cu113.html
!pip3 install torch-cluster -f https://data.pyg.org/whl/torch-1.10.0+cu113.html
!pip3 install torch-geometric

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