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QR Decomposition for Sparse Matrix #125182

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arajv opened this issue Apr 29, 2024 · 1 comment
Open

QR Decomposition for Sparse Matrix #125182

arajv opened this issue Apr 29, 2024 · 1 comment
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module: linear algebra Issues related to specialized linear algebra operations in PyTorch; includes matrix multiply matmul module: sparse Related to torch.sparse triaged This issue has been looked at a team member, and triaged and prioritized into an appropriate module

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@arajv
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arajv commented Apr 29, 2024 •
edited by pytorch-bot bot

馃殌 The feature, motivation and pitch

I am working on a problem whose solution needs to run QR decomposition of matrices. The matrices involved in the problem are huge but sparse, which end up occupying a lot of RAM. Because currently pytorch doesn't support QR decomposition of sparse tensors, it is not being possible to use the sparse representation of tensors.

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cc @alexsamardzic @nikitaved @pearu @cpuhrsch @amjames @bhosmer @jcaip @jianyuh @mruberry @walterddr @xwang233 @lezcano
@cpuhrsch cpuhrsch added module: sparse Related to torch.sparse triaged This issue has been looked at a team member, and triaged and prioritized into an appropriate module module: linear algebra Issues related to specialized linear algebra operations in PyTorch; includes matrix multiply matmul labels Apr 30, 2024
@lezcano
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lezcano commented May 1, 2024

Does lapack or cusolver support sparse QR?

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module: linear algebra Issues related to specialized linear algebra operations in PyTorch; includes matrix multiply matmul module: sparse Related to torch.sparse triaged This issue has been looked at a team member, and triaged and prioritized into an appropriate module
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@cpuhrsch @lezcano @arajv