Importing pytorch geometric results in an error message
I'm suddenly unable to import pytorch geometric and I cannot figure out why. I've added a screenshot of the packages in my conda environment and the error message that I get when I try to import torch_geometric.
import torch
import torch.nn.functional as F
from torch_geometric.nn import GCNConv

Error message:

OSError: dlopen(/Users/anstercharles/opt/anaconda3/lib/python3.8/site-packages/torch_sparse/_convert_cpu.so, 6): Symbol not found: __ZN2at8internal13_parallel_runExxxRKNSt3__18functionIFvxxmEEE
Referenced from: /Users/anstercharles/opt/anaconda3/lib/python3.8/site-packages/torch_sparse/_convert_cpu.so
Expected in: /Users/anstercharles/opt/anaconda3/lib/python3.8/site-packages/torch/lib/libtorch_cpu.dylib
in /Users/anstercharles/opt/anaconda3/lib/python3.8/site-packages/torch_sparse/_convert_cpu.so

Running:
conda list pytorch

Gives me:




Name
Version
Build
Channel




pytorch
1.9.0
cpu_py38h490fcb8_1
conda-forge


pytorch-cluster
1.5.9
py38_torch_1.9.0_cpu
rusty1s


pytorch-geometric
1.7.2
py38_torch_1.9.0_cpu
rusty1s


pytorch-scatter
2.0.8
py38_torch_1.9.0_cpu
rusty1s


pytorch-sparse
0.6.11
py38_torch_1.9.0_cpu
rusty1s


pytorch-spline-conv
1.2.1
py38_torch_1.9.0_cpu
rusty1s






Additional Details

OS: MacOS Mojave
Anaconda 3
Python 3.8


I can replicate the error. The documentation in the README, to use
conda install pytorch-geometric -c rusty1s -c conda-forge

does not match the order that is actually used in the build, which has the channel order:
-c defaults -c pytorch -c conda-forge -c rusty1s

Workaround
I find it works using:
conda create -n foo -c defaults -c pytorch -c conda-forge -c rusty1s pytorch-geometric

