Add init_position argument to UniformGenerator #2686
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This pull request was exported from Phabricator. Differential Revision: D61622058 |
Codecov ReportAll modified and coverable lines are covered by tests ✅
Additional details and impacted files@@ Coverage Diff @@
## main #2686 +/- ##
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- Coverage 95.29% 95.29% -0.01%
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Files 495 495
Lines 47832 47829 -3
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- Hits 45582 45579 -3
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Summary: Pull Request resolved: facebook#2686 `SobolGenerator` uses `init_position` to ensure that when the model is reconstructed, it resumes candidate generation from where it was left (rather than starting from the beginning of the sequence). Without this, when `deduplicate=False`, the model would generate the same points it has already generated, which would lead to different candidate generation behaviors depending on how often the model was reconstructed. This is undesirable as we want the model to resume generation rather than repeating from scratch. Prior to this diff, `UniformGenerator` did not have `init_position`, so had this exact issue. We fix it here. Reviewed By: Balandat Differential Revision: D61622058
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Summary: Pull Request resolved: facebook#2686 `SobolGenerator` uses `init_position` to ensure that when the model is reconstructed, it resumes candidate generation from where it was left (rather than starting from the beginning of the sequence). Without this, when `deduplicate=False`, the model would generate the same points it has already generated, which would lead to different candidate generation behaviors depending on how often the model was reconstructed. This is undesirable as we want the model to resume generation rather than repeating from scratch. Prior to this diff, `UniformGenerator` did not have `init_position`, so had this exact issue. We fix it here. Reviewed By: Balandat Differential Revision: D61622058
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This pull request was exported from Phabricator. Differential Revision: D61622058 |
saitcakmak
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Summary: Pull Request resolved: facebook#2686 `SobolGenerator` uses `init_position` to ensure that when the model is reconstructed, it resumes candidate generation from where it was left (rather than starting from the beginning of the sequence). Without this, when `deduplicate=False`, the model would generate the same points it has already generated, which would lead to different candidate generation behaviors depending on how often the model was reconstructed. This is undesirable as we want the model to resume generation rather than repeating from scratch. Prior to this diff, `UniformGenerator` did not have `init_position`, so had this exact issue. We fix it here. Reviewed By: Balandat Differential Revision: D61622058
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Summary: Prior to this, if you compared a float with an ndarray, you'd get a boolean ndarray, which would lead to `ValueError: The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()`. Differential Revision: D61666276
Summary: Pull Request resolved: facebook#2686 `SobolGenerator` uses `init_position` to ensure that when the model is reconstructed, it resumes candidate generation from where it was left (rather than starting from the beginning of the sequence). Without this, when `deduplicate=False`, the model would generate the same points it has already generated, which would lead to different candidate generation behaviors depending on how often the model was reconstructed. This is undesirable as we want the model to resume generation rather than repeating from scratch. Prior to this diff, `UniformGenerator` did not have `init_position`, so had this exact issue. We fix it here. Reviewed By: Balandat Differential Revision: D61622058
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This pull request has been merged in e800973. |
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Summary:
SobolGeneratorusesinit_positionto ensure that when the model is reconstructed, it resumes candidate generation from where it was left (rather than starting from the beginning of the sequence). Without this, whendeduplicate=False, the model would generate the same points it has already generated, which would lead to different candidate generation behaviors depending on how often the model was reconstructed. This is undesirable as we want the model to resume generation rather than repeating from scratch.Prior to this diff,
UniformGeneratordid not haveinit_position, so had this exact issue. We fix it here.Differential Revision: D61622058