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This PR implements QR-based least squares solver using geqrf, ormqr, and
triangular_solve operations.

Internal code of triangular_solve was fixed to handle correctly larger
sized rectangular arrays.

ghstack-source-id: aada19b
Pull Request resolved: #57317
cuBLAS's gelsBatched is faster than MAGMA's for matrices with rows less
than 128.

ghstack-source-id: 4df8d67
Pull Request resolved: #54725
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facebook-github-bot commented May 7, 2021

💊 CI failures summary and remediations

As of commit 92df9c1 (more details on the Dr. CI page):


None of the CI failures appear to be your fault 💚



🚧 1 fixed upstream failure:

These were probably caused by upstream breakages that were already fixed.

Please rebase on the viable/strict branch (expand for instructions)

If your commit is older than viable/strict, run these commands:

git fetch https://github.com/pytorch/pytorch viable/strict
git rebase FETCH_HEAD

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@IvanYashchuk IvanYashchuk deleted the ci-all/cusolver-lstsq branch May 10, 2021 05:32
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4 participants