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Support interruption for NNdescent #3173
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Context: most slow operations have an explicit way of checking for interruptions. https://github.com/facebookresearch/faiss/blob/main/faiss/IndexHNSW.cpp#L239 faiss/faiss/utils/distances.cpp Line 256 in 366a814
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Summary: Addresses the issue in facebookresearch#3173 for `IndexNNDescent`, I see that there is already interrupt implemented for it's [search](https://fburl.com/code/iwn3tqic) API, so I looked into it's `add` API. For a given dataset nb = 10 mil, iter = 10, K = 32, d = 32 on a CPU only machine reveals that bulk of the cost comes from [nndescent](https://fburl.com/code/5rdb1p5o). For every iteration of `nndescent` takes around ~12 seconds, ~70-80% of the time is spent on `join` method (~10 seconds per iteration) and ~20-30% spent on `update` (~2 second per iteration). Adding the interrupt on the `join` should suffice on quickly terminating the program when users hit ctrl+C (happy to move the interrupt elsewhere if we think otherwise) Reviewed By: mdouze Differential Revision: D57300514
Summary: Addresses the issue in facebookresearch#3173 for `IndexNNDescent`, I see that there is already interrupt implemented for it's [search](https://fburl.com/code/iwn3tqic) API, so I looked into it's `add` API. For a given dataset nb = 10 mil, iter = 10, K = 32, d = 32 on a CPU only machine reveals that bulk of the cost comes from [nndescent](https://fburl.com/code/5rdb1p5o). For every iteration of `nndescent` takes around ~12 seconds, ~70-80% of the time is spent on `join` method (~10 seconds per iteration) and ~20-30% spent on `update` (~2 second per iteration). Adding the interrupt on the `join` should suffice on quickly terminating the program when users hit ctrl+C (happy to move the interrupt elsewhere if we think otherwise) Reviewed By: junjieqi, mdouze Differential Revision: D57300514
Summary: Addresses the issue in facebookresearch#3173 for `IndexNNDescent`, I see that there is already interrupt implemented for it's [search](https://fburl.com/code/iwn3tqic) API, so I looked into it's `add` API. For a given dataset nb = 10 mil, iter = 10, K = 32, d = 32 on a CPU only machine reveals that bulk of the cost comes from [nndescent](https://fburl.com/code/5rdb1p5o). For every iteration of `nndescent` takes around ~12 seconds, ~70-80% of the time is spent on `join` method (~10 seconds per iteration) and ~20-30% spent on `update` (~2 second per iteration). Adding the interrupt on the `join` should suffice on quickly terminating the program when users hit ctrl+C (happy to move the interrupt elsewhere if we think otherwise) Reviewed By: junjieqi, mdouze Differential Revision: D57300514
Summary: Addresses the issue in facebookresearch#3173 for `IndexNNDescent`, I see that there is already interrupt implemented for it's [search](https://fburl.com/code/iwn3tqic) API, so I looked into it's `add` API. For a given dataset nb = 10 mil, iter = 10, K = 32, d = 32 on a CPU only machine reveals that bulk of the cost comes from [nndescent](https://fburl.com/code/5rdb1p5o). For every iteration of `nndescent` takes around ~12 seconds, ~70-80% of the time is spent on `join` method (~10 seconds per iteration) and ~20-30% spent on `update` (~2 second per iteration). Adding the interrupt on the `join` should suffice on quickly terminating the program when users hit ctrl+C (happy to move the interrupt elsewhere if we think otherwise) Reviewed By: junjieqi, mdouze Differential Revision: D57300514
Summary: Addresses the issue in facebookresearch#3173 for `IndexNNDescent`, I see that there is already interrupt implemented for it's [search](https://fburl.com/code/iwn3tqic) API, so I looked into it's `add` API. For a given dataset nb = 10 mil, iter = 10, K = 32, d = 32 on a CPU only machine reveals that bulk of the cost comes from [nndescent](https://fburl.com/code/5rdb1p5o). For every iteration of `nndescent` takes around ~12 seconds, ~70-80% of the time is spent on `join` method (~10 seconds per iteration) and ~20-30% spent on `update` (~2 second per iteration). Adding the interrupt on the `join` should suffice on quickly terminating the program when users hit ctrl+C (happy to move the interrupt elsewhere if we think otherwise) Reviewed By: junjieqi, mdouze Differential Revision: D57300514
Summary: Addresses the issue in facebookresearch#3173 for `IndexNNDescent`, I see that there is already interrupt implemented for it's [search](https://fburl.com/code/iwn3tqic) API, so I looked into it's `add` API. For a given dataset nb = 10 mil, iter = 10, K = 32, d = 32 on a CPU only machine reveals that bulk of the cost comes from [nndescent](https://fburl.com/code/5rdb1p5o). For every iteration of `nndescent` takes around ~12 seconds, ~70-80% of the time is spent on `join` method (~10 seconds per iteration) and ~20-30% spent on `update` (~2 second per iteration). Adding the interrupt on the `join` should suffice on quickly terminating the program when users hit ctrl+C (happy to move the interrupt elsewhere if we think otherwise) Reviewed By: junjieqi, mdouze Differential Revision: D57300514
Summary: Addresses the issue in facebookresearch#3173 for `IndexNNDescent`, I see that there is already interrupt implemented for it's [search](https://fburl.com/code/iwn3tqic) API, so I looked into it's `add` API. For a given dataset nb = 10 mil, iter = 10, K = 32, d = 32 on a CPU only machine reveals that bulk of the cost comes from [nndescent](https://fburl.com/code/5rdb1p5o). For every iteration of `nndescent` takes around ~12 seconds, ~70-80% of the time is spent on `join` method (~10 seconds per iteration) and ~20-30% spent on `update` (~2 second per iteration). Adding the interrupt on the `join` should suffice on quickly terminating the program when users hit ctrl+C (happy to move the interrupt elsewhere if we think otherwise) Reviewed By: junjieqi, mdouze Differential Revision: D57300514
Summary: Addresses the issue in facebookresearch#3173 for `IndexNNDescent`, I see that there is already interrupt implemented for it's [search](https://fburl.com/code/iwn3tqic) API, so I looked into it's `add` API. For a given dataset nb = 10 mil, iter = 10, K = 32, d = 32 on a CPU only machine reveals that bulk of the cost comes from [nndescent](https://fburl.com/code/5rdb1p5o). For every iteration of `nndescent` takes around ~12 seconds, ~70-80% of the time is spent on `join` method (~10 seconds per iteration) and ~20-30% spent on `update` (~2 second per iteration). Adding the interrupt on the `join` should suffice on quickly terminating the program when users hit ctrl+C (happy to move the interrupt elsewhere if we think otherwise) Reviewed By: junjieqi, mdouze Differential Revision: D57300514
Summary: Addresses the issue in facebookresearch#3173 for `IndexNNDescent`, I see that there is already interrupt implemented for it's [search](https://fburl.com/code/iwn3tqic) API, so I looked into it's `add` API. For a given dataset nb = 10 mil, iter = 10, K = 32, d = 32 on a CPU only machine reveals that bulk of the cost comes from [nndescent](https://fburl.com/code/5rdb1p5o). For every iteration of `nndescent` takes around ~12 seconds, ~70-80% of the time is spent on `join` method (~10 seconds per iteration) and ~20-30% spent on `update` (~2 second per iteration). Adding the interrupt on the `join` should suffice on quickly terminating the program when users hit ctrl+C (happy to move the interrupt elsewhere if we think otherwise) Reviewed By: junjieqi, mdouze Differential Revision: D57300514
Summary: Addresses the issue in facebookresearch#3173 for `IndexNNDescent`, I see that there is already interrupt implemented for it's [search](https://fburl.com/code/iwn3tqic) API, so I looked into it's `add` API. For a given dataset nb = 10 mil, iter = 10, K = 32, d = 32 on a CPU only machine reveals that bulk of the cost comes from [nndescent](https://fburl.com/code/5rdb1p5o). For every iteration of `nndescent` takes around ~12 seconds, ~70-80% of the time is spent on `join` method (~10 seconds per iteration) and ~20-30% spent on `update` (~2 second per iteration). Adding the interrupt on the `join` should suffice on quickly terminating the program when users hit ctrl+C (happy to move the interrupt elsewhere if we think otherwise) Reviewed By: junjieqi, mdouze Differential Revision: D57300514
Summary: Addresses the issue in facebookresearch#3173 for `IndexNNDescent`, I see that there is already interrupt implemented for it's [search](https://fburl.com/code/iwn3tqic) API, so I looked into it's `add` API. For a given dataset nb = 10 mil, iter = 10, K = 32, d = 32 on a CPU only machine reveals that bulk of the cost comes from [nndescent](https://fburl.com/code/5rdb1p5o). For every iteration of `nndescent` takes around ~12 seconds, ~70-80% of the time is spent on `join` method (~10 seconds per iteration) and ~20-30% spent on `update` (~2 second per iteration). Adding the interrupt on the `join` should suffice on quickly terminating the program when users hit ctrl+C (happy to move the interrupt elsewhere if we think otherwise) Reviewed By: junjieqi, mdouze Differential Revision: D57300514
Summary: Addresses the issue in facebookresearch#3173 for `IndexNNDescent`, I see that there is already interrupt implemented for it's [search](https://fburl.com/code/iwn3tqic) API, so I looked into it's `add` API. For a given dataset nb = 10 mil, iter = 10, K = 32, d = 32 on a CPU only machine reveals that bulk of the cost comes from [nndescent](https://fburl.com/code/5rdb1p5o). For every iteration of `nndescent` takes around ~12 seconds, ~70-80% of the time is spent on `join` method (~10 seconds per iteration) and ~20-30% spent on `update` (~2 second per iteration). Adding the interrupt on the `join` should suffice on quickly terminating the program when users hit ctrl+C (happy to move the interrupt elsewhere if we think otherwise) Reviewed By: junjieqi, mdouze Differential Revision: D57300514
Summary: Addresses the issue in facebookresearch#3173 for `IndexNNDescent`, I see that there is already interrupt implemented for it's [search](https://fburl.com/code/iwn3tqic) API, so I looked into it's `add` API. For a given dataset nb = 10 mil, iter = 10, K = 32, d = 32 on a CPU only machine reveals that bulk of the cost comes from [nndescent](https://fburl.com/code/5rdb1p5o). For every iteration of `nndescent` takes around ~12 seconds, ~70-80% of the time is spent on `join` method (~10 seconds per iteration) and ~20-30% spent on `update` (~2 second per iteration). Adding the interrupt on the `join` should suffice on quickly terminating the program when users hit ctrl+C (happy to move the interrupt elsewhere if we think otherwise) Reviewed By: junjieqi, mdouze Differential Revision: D57300514
Summary: Addresses the issue in facebookresearch#3173 for `IndexNNDescent`, I see that there is already interrupt implemented for it's [search](https://fburl.com/code/iwn3tqic) API, so I looked into it's `add` API. For a given dataset nb = 10 mil, iter = 10, K = 32, d = 32 on a CPU only machine reveals that bulk of the cost comes from [nndescent](https://fburl.com/code/5rdb1p5o). For every iteration of `nndescent` takes around ~12 seconds, ~70-80% of the time is spent on `join` method (~10 seconds per iteration) and ~20-30% spent on `update` (~2 second per iteration). Adding the interrupt on the `join` should suffice on quickly terminating the program when users hit ctrl+C (happy to move the interrupt elsewhere if we think otherwise) Reviewed By: junjieqi, mdouze Differential Revision: D57300514
Summary: Addresses the issue in facebookresearch#3173 for `IndexNNDescent`, I see that there is already interrupt implemented for it's [search](https://fburl.com/code/iwn3tqic) API, so I looked into it's `add` API. For a given dataset nb = 10 mil, iter = 10, K = 32, d = 32 on a CPU only machine reveals that bulk of the cost comes from [nndescent](https://fburl.com/code/5rdb1p5o). For every iteration of `nndescent` takes around ~12 seconds, ~70-80% of the time is spent on `join` method (~10 seconds per iteration) and ~20-30% spent on `update` (~2 second per iteration). Adding the interrupt on the `join` should suffice on quickly terminating the program when users hit ctrl+C (happy to move the interrupt elsewhere if we think otherwise) Reviewed By: junjieqi, mdouze Differential Revision: D57300514
Summary: Addresses the issue in facebookresearch#3173 for `IndexNNDescent`, I see that there is already interrupt implemented for it's [search](https://fburl.com/code/iwn3tqic) API, so I looked into it's `add` API. For a given dataset nb = 10 mil, iter = 10, K = 32, d = 32 on a CPU only machine reveals that bulk of the cost comes from [nndescent](https://fburl.com/code/5rdb1p5o). For every iteration of `nndescent` takes around ~12 seconds, ~70-80% of the time is spent on `join` method (~10 seconds per iteration) and ~20-30% spent on `update` (~2 second per iteration). Adding the interrupt on the `join` should suffice on quickly terminating the program when users hit ctrl+C (happy to move the interrupt elsewhere if we think otherwise) Reviewed By: junjieqi, mdouze Differential Revision: D57300514
Summary: Addresses the issue in facebookresearch#3173 for `IndexNNDescent`, I see that there is already interrupt implemented for it's [search](https://fburl.com/code/iwn3tqic) API, so I looked into it's `add` API. For a given dataset nb = 10 mil, iter = 10, K = 32, d = 32 on a CPU only machine reveals that bulk of the cost comes from [nndescent](https://fburl.com/code/5rdb1p5o). For every iteration of `nndescent` takes around ~12 seconds, ~70-80% of the time is spent on `join` method (~10 seconds per iteration) and ~20-30% spent on `update` (~2 second per iteration). Adding the interrupt on the `join` should suffice on quickly terminating the program when users hit ctrl+C (happy to move the interrupt elsewhere if we think otherwise) Reviewed By: junjieqi, mdouze Differential Revision: D57300514
Summary: Addresses the issue in facebookresearch#3173 for `IndexNNDescent`, I see that there is already interrupt implemented for it's [search](https://fburl.com/code/iwn3tqic) API, so I looked into it's `add` API. For a given dataset nb = 10 mil, iter = 10, K = 32, d = 32 on a CPU only machine reveals that bulk of the cost comes from [nndescent](https://fburl.com/code/5rdb1p5o). For every iteration of `nndescent` takes around ~12 seconds, ~70-80% of the time is spent on `join` method (~10 seconds per iteration) and ~20-30% spent on `update` (~2 second per iteration). Adding the interrupt on the `join` should suffice on quickly terminating the program when users hit ctrl+C (happy to move the interrupt elsewhere if we think otherwise) Reviewed By: junjieqi, mdouze Differential Revision: D57300514
Summary: Addresses the issue in facebookresearch#3173 for `IndexNNDescent`, I see that there is already interrupt implemented for it's [search](https://fburl.com/code/iwn3tqic) API, so I looked into it's `add` API. For a given dataset nb = 10 mil, iter = 10, K = 32, d = 32 on a CPU only machine reveals that bulk of the cost comes from [nndescent](https://fburl.com/code/5rdb1p5o). For every iteration of `nndescent` takes around ~12 seconds, ~70-80% of the time is spent on `join` method (~10 seconds per iteration) and ~20-30% spent on `update` (~2 second per iteration). Adding the interrupt on the `join` should suffice on quickly terminating the program when users hit ctrl+C (happy to move the interrupt elsewhere if we think otherwise) Reviewed By: junjieqi, mdouze Differential Revision: D57300514
Summary: Pull Request resolved: #3432 Addresses the issue in #3173 for `IndexNNDescent`, I see that there is already interrupt implemented for it's [search](https://fburl.com/code/iwn3tqic) API, so I looked into it's `add` API. For a given dataset nb = 10 mil, iter = 10, K = 32, d = 32 on a CPU only machine reveals that bulk of the cost comes from [nndescent](https://fburl.com/code/5rdb1p5o). For every iteration of `nndescent` takes around ~12 seconds, ~70-80% of the time is spent on `join` method (~10 seconds per iteration) and ~20-30% spent on `update` (~2 second per iteration). Adding the interrupt on the `join` should suffice on quickly terminating the program when users hit ctrl+C (happy to move the interrupt elsewhere if we think otherwise) Reviewed By: junjieqi, mdouze Differential Revision: D57300514 fbshipit-source-id: d343e0a292c35027ffdb8cbd0131e945b9881d63
Summary: Pull Request resolved: facebookresearch#3432 Addresses the issue in facebookresearch#3173 for `IndexNNDescent`, I see that there is already interrupt implemented for it's [search](https://fburl.com/code/iwn3tqic) API, so I looked into it's `add` API. For a given dataset nb = 10 mil, iter = 10, K = 32, d = 32 on a CPU only machine reveals that bulk of the cost comes from [nndescent](https://fburl.com/code/5rdb1p5o). For every iteration of `nndescent` takes around ~12 seconds, ~70-80% of the time is spent on `join` method (~10 seconds per iteration) and ~20-30% spent on `update` (~2 second per iteration). Adding the interrupt on the `join` should suffice on quickly terminating the program when users hit ctrl+C (happy to move the interrupt elsewhere if we think otherwise) Reviewed By: junjieqi, mdouze Differential Revision: D57300514 fbshipit-source-id: d343e0a292c35027ffdb8cbd0131e945b9881d63
Summary: Pull Request resolved: facebookresearch#3432 Addresses the issue in facebookresearch#3173 for `IndexNNDescent`, I see that there is already interrupt implemented for it's [search](https://fburl.com/code/iwn3tqic) API, so I looked into it's `add` API. For a given dataset nb = 10 mil, iter = 10, K = 32, d = 32 on a CPU only machine reveals that bulk of the cost comes from [nndescent](https://fburl.com/code/5rdb1p5o). For every iteration of `nndescent` takes around ~12 seconds, ~70-80% of the time is spent on `join` method (~10 seconds per iteration) and ~20-30% spent on `update` (~2 second per iteration). Adding the interrupt on the `join` should suffice on quickly terminating the program when users hit ctrl+C (happy to move the interrupt elsewhere if we think otherwise) Reviewed By: junjieqi, mdouze Differential Revision: D57300514 fbshipit-source-id: d343e0a292c35027ffdb8cbd0131e945b9881d63
NNdescent cannot be interrupted. It would be nice to support the InterruptCallback
faiss/faiss/impl/AuxIndexStructures.cpp
Line 223 in be12427
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