ExpectationMax / ExpectationMax/torch_persistent_homology
Undefined Symbol _ZN3c106detail19maybe_wrap_dim_slowEllb
- Dominant language
- C++
- Stars
- 7
- Forks
- 1
- PR merge metrics
- No merged PRs in 30d
Description
Hi!
I wanted to use your library while building an adaptation of [TOGL](https://github.com/BorgwardtLab/TOGL). I installed it with pip and everything checked out, but now that I try to import it:
```
from torch_persistent_homology.persistent_homology_cpu import compute_persistence_homology_batched_mt
```
I get the following error:
```
from torch_persistent_homology.persistent_homology_cpu import compute_persistence_homology_batched_mt
ImportError: /home/user/miniconda/envs/pyg/lib/python3.7/site-packages/torch_persistent_homology/persistent_homology_cpu.cpython-37m-x86_64-linux-gnu.so: undefined symbol: _ZN3c106detail19maybe_wrap_dim_slowEllb
```
I am not familiar enough with C++ to fix this issue, do you know where to start?
If you need more context, I run the code in a Docker container Ubuntu 20.04, Pytorch LTS 1.8.2 CPU version. I am trying to carve out a standalone implementation of the [TopologyLayer](https://github.com/fratajcz/TOGL/blob/main/topognn/topolayer.py).
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Research direction
Start by reproducing the import of persistent_homology_cpu.cpython-37m-x86_64-linux-gnu.so with the reported Ubuntu 20.04, Python 3.7, and PyTorch LTS 1.8.2 CPU environment. Trace the undefined symbol against the installed extension and PyTorch build; done means compute_persistence_homology_batched_mt imports successfully.
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Assessment
- Tech stack
- cpp, python
- Domain
- backend, machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100