When calling graclus_cluster(row, col, weight, numnodes) on empty input, the call hangs. In particular by "empty inputs" I mean inputs like: row=torch.Tensor([]), col=torch.Tensor([]), weight=torch.Tensor([]), numnodes=some positive integer. While the call is hanging nvidia-smi still shows substantial GPU utilization, suggesting to me that there is some unintended infinite loop running on the GPU in this case. This is probably not a super important edge case (I was only calling the function with empty inputs due to a bug in my data handling which has since been fixed), but I thought it was worth notifying the developers, as I assume this is not the intended failure mode.
My environment is:
mamba list | grep torch
ffmpeg 4.3 hf484d3e_0 pytorch
pyg 2.2.0 py38_torch_1.13.0_cu116 pyg
pytorch 1.13.1 py3.8_cuda11.6_cudnn8.3.2_0 pytorch
pytorch-cluster 1.6.0 py38_torch_1.13.0_cu116 pyg
pytorch-cuda 11.6 h867d48c_1 pytorch
pytorch-mutex 1.0 cuda pytorch
pytorch-scatter 2.1.0 py38_torch_1.13.0_cu116 pyg
pytorch-sparse 0.6.15 py38_torch_1.13.0_cu116 pyg
torchaudio 0.13.1 py38_cu116 pytorch
torchvision 0.14.1 py38_cu116 pytorch
When calling
graclus_cluster(row, col, weight, numnodes)on empty input, the call hangs. In particular by "empty inputs" I mean inputs like:row=torch.Tensor([]),col=torch.Tensor([]),weight=torch.Tensor([]),numnodes=some positive integer. While the call is hangingnvidia-smistill shows substantial GPU utilization, suggesting to me that there is some unintended infinite loop running on the GPU in this case. This is probably not a super important edge case (I was only calling the function with empty inputs due to a bug in my data handling which has since been fixed), but I thought it was worth notifying the developers, as I assume this is not the intended failure mode.My environment is: