Get more consistent distributions in parallel scenarios test #8451
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steven-johnson
approved these changes
Oct 30, 2024
mcourteaux
reviewed
Nov 8, 2024
| const int memory_limit = m ? max_memory : 128; | ||
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| auto now = std::chrono::high_resolution_clock::now; | ||
| auto to_ns = [](auto delta) { return 1e9 * std::chrono::duration<float>(delta).count(); }; |
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Nitpick: 1e9 is a double, so the lambda returns a double. Either 1e9f, or the results vector should become double.
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ready to land? |
Member
Author
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Looks like there was a merge conflict to fix. Apart from that, assuming everything goes green, yes |
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Failures are all vulkan stuff |
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Note that this is not denoising the individual runtimes. The point of the test is to measure a distribution of runtimes for a variety of scenarios. This PR takes more samples for each distribution, and spreads the samples out over time to dodge transitory OS stuff by interleaving different test scenarios.
I also tweaked some of the scenarios to be more useful, and reported actual deciles so that the median is actually there.