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torch_sparse.tensor.SparseTensor.partition causes "core dumped" #373

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AaronNing opened this issue Apr 26, 2024 · 3 comments
Open

torch_sparse.tensor.SparseTensor.partition causes "core dumped" #373

AaronNing opened this issue Apr 26, 2024 · 3 comments

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@AaronNing
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A minimal reproducing example:

 In [4]: adj = SparseTensor.from_edge_index(torch.LongTensor([[1,2], [1,3], [2, 3]])) In [5]: adj.partition(3) [1]    2709268 bus error (core dumped)  ipython

In what circumstances will this partition function lead to core dumping?
@rusty1s
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There exists a few edge cases where METIS sadly silently just crashes :(

In your case, you need to make sure that your SparseTensor is correctly defined, and holds a quadratic matrix:

 adj  =  SparseTensor . from_edge_index ( torch . LongTensor ([[ one , two ], [ one , three ], [ two , three ]]). t (), sparse_sizes = ( four , four )) adj . partition ( two )

@AaronNing
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There exists a few edge cases where METIS sadly silently just crashes :(

In your case, you need to make sure that your SparseTensor is correctly defined, and holds a quadratic matrix:

 adj  =  SparseTensor . from_edge_index ( torch . LongTensor ([[ one , two ], [ one , three ], [ two , three ]]). t (), sparse_sizes = ( four , four )) adj . partition ( two )

Hi, thanks for the reply. What are the "edge cases" which causes METIS "silently just crashes"? I encountered the issue when using a Python package who used the function. It was extremely hard to debug with neither error messgaes nor documents re available. Thanks!

@rusty1s
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I think too small graphs is one edge case. The other one is that METIS expects to operate on undirected graphs.

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@rusty1s @AaronNing