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dgl_gpu can't work well
See original GitHub issue🐛 Bug
[21:43:56] /opt/dgl/src/runtime/tensordispatch.cc:43: TensorDispatcher: dlopen failed: /home/aigist/anaconda3/envs/traffic/lib/python3.7/site-packages/dgl/tensoradapter/pytorch/libtensoradapter_pytorch_1.10.1.so: cannot open shared object file: No such file or directory
To Reproduce
- I run ‘conda install -c dglteam dgl-cuda11.3’ to install
- It can work well with above problem
Expected behavior
import dgl
run without warning
Environment
- DGL Version (e.g., 1.0):
- Backend Library & Version (e.g., PyTorch 0.4.1, MXNet/Gluon 1.3): PyTorch 1.10.1
- Ubuntu 21.04:
- How you installed DGL (
conda,pip, source):conda - Build command you used (if compiling from source):
- Python version:3.7
- CUDA/cuDNN version (if applicable):11.3
- GPU models and configuration (e.g. V100):Ti2080
- Any other relevant information:
Additional context
Issue Analytics
- State:
- Created 2 years ago
- Reactions:1
- Comments:9 (1 by maintainers)
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@BarclayII How about we make tensoradapter an independent library that releases new version whenever pytorch upgrades?
The warning is only related to how DGL allocates arrays and should not impact the performance or correctness much.