Large two-level clustering #2882
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This pull request was exported from Phabricator. Differential Revision: D44557021 |
Summary: Pull Request resolved: facebookresearch#2882 A two level clustering version where the training data does not need to fit in RAM. Reviewed By: algoriddle Differential Revision: D44557021 fbshipit-source-id: f74083ce756080fd839541a20d7269294239f4a2
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This pull request was exported from Phabricator. Differential Revision: D44557021 |
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This pull request has been merged in 90349f2. |
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facebook-github-bot
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May 31, 2023
Summary: #2882 added [a for loop, which has unsigned index, qualified with `#pragma omp parallel for`](https://github.com/facebookresearch/faiss/pull/2882/files#diff-5a89dcb99a1cce3f297c7f7dfc8e221306b281d4ced6dac1e0fc0fa54188195fR449-R452), but it seems that [MSVC doesn't support unsigned index with `#pragma omp parallel for`](https://app.circleci.com/pipelines/github/facebookresearch/faiss/4220/workflows/ee72de05-6ead-42d9-8ec5-44772e9fd41b/jobs/22529?invite=true#step-104-333) (I think this would not be conformed to OpenMP specification, but...) I (finally) change the loop with signed index. This changes introduce the precondition `n <= std::numeric_limits<std::make_signed_t<std::size_t>>::max()` , but usually this is `true` I think, so I just put this limitation as a comment instead of any `FAISS_ASSERT` or something like that. Pull Request resolved: #2889 Reviewed By: wickedfoo Differential Revision: D46325322 Pulled By: alexanderguzhva fbshipit-source-id: c68f4c8be3db188ac067e053c6c716e2896f75c0
Thejas-bhat
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Sep 27, 2023
Summary: Pull Request resolved: facebookresearch#2882 A two level clustering version where the training data does not need to fit in RAM. Reviewed By: algoriddle Differential Revision: D44557021 fbshipit-source-id: 892d4fec4588eb33da6e7a82c15040f39426485e
Thejas-bhat
pushed a commit
to blevesearch/faiss
that referenced
this pull request
Sep 27, 2023
Summary: facebookresearch#2882 added [a for loop, which has unsigned index, qualified with `#pragma omp parallel for`](https://github.com/facebookresearch/faiss/pull/2882/files#diff-5a89dcb99a1cce3f297c7f7dfc8e221306b281d4ced6dac1e0fc0fa54188195fR449-R452), but it seems that [MSVC doesn't support unsigned index with `#pragma omp parallel for`](https://app.circleci.com/pipelines/github/facebookresearch/faiss/4220/workflows/ee72de05-6ead-42d9-8ec5-44772e9fd41b/jobs/22529?invite=true#step-104-333) (I think this would not be conformed to OpenMP specification, but...) I (finally) change the loop with signed index. This changes introduce the precondition `n <= std::numeric_limits<std::make_signed_t<std::size_t>>::max()` , but usually this is `true` I think, so I just put this limitation as a comment instead of any `FAISS_ASSERT` or something like that. Pull Request resolved: facebookresearch#2889 Reviewed By: wickedfoo Differential Revision: D46325322 Pulled By: alexanderguzhva fbshipit-source-id: c68f4c8be3db188ac067e053c6c716e2896f75c0
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Summary: A two level clustering version where the training data does not need to fit in RAM.
Reviewed By: algoriddle
Differential Revision: D44557021