Comments (4)
Fixed by creating a new conda env then install dependence in this way.
conda install cudatoolkit=10.1
pip install numpy scipy matplotlib tensorboard open3d==0.9.0 opencv-python
pip install "rtree>=0.8,<0.9"
pip install "trimesh[easy]"
pip install https://download.pytorch.org/whl/cu101/torch-1.6.0%2Bcu101-cp37-cp37m-linux_x86_64.whl
pip install https://download.pytorch.org/whl/cu101/torchvision-0.7.0%2Bcu101-cp37-cp37m-linux_x86_64.whl
pip install torch-scatter==latest+cu101 -f https://pytorch-geometric.com/whl/torch-1.6.0.html
pip install torch-sparse==latest+cu101 -f https://pytorch-geometric.com/whl/torch-1.6.0.html
pip install torch-cluster==latest+cu101 -f https://pytorch-geometric.com/whl/torch-1.6.0.html
pip install torch-spline-conv==latest+cu101 -f https://pytorch-geometric.com/whl/torch-1.6.0.html
pip install torch-geometric
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Hi, The reported problem is from torch_sparse, so better to first make pytorch_geometric work properly. Did you install the same versions as mine?
Also refer to this pyg-team/pytorch_geometric#999 (comment)
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I have the same issue. Created & installed dependencies according to readme.
conda create -n rignet python=3.7
conda activate rignet
pip install numpy scipy matplotlib tensorboard open3d==0.9.0 opencv-python
pip install "rtree>=0.8,<0.9"
pip install trimesh[easy]
conda install pytorch torchvision cudatoolkit=10.1 -c pytorch
pip install torch-scatter==latest+cu101 -f https://pytorch-geometric.com/whl/torch-1.6.0.html
pip install torch-sparse==latest+cu101 -f https://pytorch-geometric.com/whl/torch-1.6.0.html
pip install torch-cluster==latest+cu101 -f https://pytorch-geometric.com/whl/torch-1.6.0.html
pip install torch-spline-conv==latest+cu101 -f https://pytorch-geometric.com/whl/torch-1.6.0.html
pip install torch-geometric
torch 1.7.0
torch-cluster 1.5.8
torch-geometric 1.6.1
torch-scatter 2.0.5
torch-sparse 0.6.8
torch-spline-conv 1.2.0
torchvision 0.8.1
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It works, Thanks a lot!
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