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Model reproduciblility with histogram tree method. #5023

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trivialfis opened this issue Nov 7, 2019 · 5 comments
Closed
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Model reproduciblility with histogram tree method. #5023

trivialfis opened this issue Nov 7, 2019 · 5 comments
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type: bug

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@trivialfis
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trivialfis commented Nov 7, 2019 •
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A link to the original issue: dask/dask-xgboost#37

TODOS:

  • CPU/GPU deterministic scattered add for building histogram.
  • Verify allreduce is deterministic.
  • Verify cub BlockSum is deterministic.
  • Distributed environment.

Related:
#4204
#3921
#3707
@trivialfis
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It would be nice to test for hist and gpu_hist too, as these two are most used in production env.

@mmccarty
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Thank you @trivialfis Very interested to find out what's going on here.

@trivialfis trivialfis mentioned this issue Dec 1, 2019
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@trivialfis trivialfis changed the title Model reproduciblility in distributed environment. Model reproduciblility with histogram tree method. Feb 5, 2020
This was referenced Feb 5, 2020
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@hcho3 hcho3 mentioned this issue Feb 21, 2020
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@trivialfis
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Single node GPU hist for regression and classification is now deterministic.

@Zethson Zethson mentioned this issue Mar 31, 2020
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@Zethson Zethson mentioned this issue May 5, 2020
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@Zethson Zethson mentioned this issue Aug 31, 2020
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@trivialfis
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Remaining issues are dask partitioning functions and GPU ranking. Ranking is tracked in #5561 . Dask partitioning still needs some more investigation.

@trivialfis
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The histogram method inside xgboost is bit to bit reproducible now. Remaining question is in dask data partitioning.

@cstefansen cstefansen mentioned this issue Feb 16, 2023
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@mmccarty @trivialfis