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ImportError: Cannot load Graphbolt C++ library #7623
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Facing same issue - circular dependency where I get the above with torch == 2.3.0 and DGL >= 2.1.0, or |
@Rhett-Ying Why don't we import GraphBolt inside the functions where it is used so that normal DGL users can import DGL. Or the distributed code should not be imported by a general DGL import. |
I see
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Can you try using a torchdata version <0.8.0? If anyone verifies that resolves the issue, we can merge #7604. |
Can you reproduce my question? There is a problem on arm. |
@yfismine We've stopped providing built packages for ARM. could you try to build on your own to see if this issue still exists? |
Although there are many strange compatibility problems, the version I compiled through the source code can work normally in arm. Thank you very much. @Rhett-Ying |
This issue has been automatically marked as stale due to lack of activity. It will be closed if no further activity occurs. Thank you |
🐛 Bug
To Reproduce
Steps to reproduce the behavior:
conda install pytorch=2.3.0 cpuonly torchmetrics=1.4.0 -c pytorch -c conda-forge -y conda install dgl=2.2.1 -c dglteam/label/th23_cpu -y python -c "import dgl"
It works normally on x86, but there is a error on arm.
Environment
conda
,pip
, source): condaThe text was updated successfully, but these errors were encountered: