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Migrate cholesky_inverse from the TH to Aten (CUDA) #24543

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VitalyFedyunin opened this issue Aug 16, 2019 · 0 comments
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Migrate cholesky_inverse from the TH to Aten (CUDA) #24543

VitalyFedyunin opened this issue Aug 16, 2019 · 0 comments
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better-engineering Relatively self-contained tasks for better engineering contributors module: linear algebra Issues related to specialized linear algebra operations in PyTorch; includes matrix multiply matmul module: porting Issues related to porting TH/THNN legacy to ATen native triaged This issue has been looked at a team member, and triaged and prioritized into an appropriate module

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@VitalyFedyunin
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VitalyFedyunin commented Aug 16, 2019 •
edited by pytorch-probot bot

Porting TH operators is essential for code simplicity and performance reasons.

Porting guides and Q&A are available in umbrella issue: #24507

Feel free to add @VitalyFedyunin as a reviewer to get a prioritized review.

cc @vincentqb @vishwakftw @jianyuh @nikitaved @pearu @mruberry @heitorschueroff
@VitalyFedyunin VitalyFedyunin added better-engineering Relatively self-contained tasks for better engineering contributors module: operators module: porting Issues related to porting TH/THNN legacy to ATen native triaged This issue has been looked at a team member, and triaged and prioritized into an appropriate module labels Aug 16, 2019
@VitalyFedyunin VitalyFedyunin mentioned this issue Aug 16, 2019
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@vishwakftw vishwakftw mentioned this issue Dec 14, 2019
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@mruberry mruberry added module: linear algebra Issues related to specialized linear algebra operations in PyTorch; includes matrix multiply matmul and removed module: operators (deprecated) labels Oct 10, 2020
@IvanYashchuk IvanYashchuk mentioned this issue Jan 8, 2021
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better-engineering Relatively self-contained tasks for better engineering contributors module: linear algebra Issues related to specialized linear algebra operations in PyTorch; includes matrix multiply matmul module: porting Issues related to porting TH/THNN legacy to ATen native triaged This issue has been looked at a team member, and triaged and prioritized into an appropriate module
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