Batched Optimization For Mixed Optimization #2895
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Codecov ReportAll modified and coverable lines are covered by tests ✅
Additional details and impacted files@@ Coverage Diff @@
## main #2895 +/- ##
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Coverage 100.00% 100.00%
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Files 212 212
Lines 19794 19819 +25
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Summary: So far, our optimization in mixed search spaces work on each restart separately and sequentially instead of batching them. Here, we change this to batch the restarts, based on the new l-bfgs-b implementation that supports this. This speeds up mixed search spaces a lot (depending on the problem around 3-4x speedups). Differential Revision: D76517454
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Summary: Pull Request resolved: meta-pytorch#2895 So far, our optimization in mixed search spaces work on each restart separately and sequentially instead of batching them. Here, we change this to batch the restarts, based on the new l-bfgs-b implementation that supports this. This speeds up mixed search spaces a lot (depending on the problem around 3-4x speedups). Differential Revision: D76517454
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Summary: So far, our optimization in mixed search spaces work on each restart separately and sequentially instead of batching them. Here, we change this to batch the restarts, based on the new l-bfgs-b implementation that supports this. This speeds up mixed search spaces a lot (depending on the problem around 3-4x speedups). Differential Revision: D76517454
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SamuelGabriel
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Summary: Pull Request resolved: meta-pytorch#2895 So far, our optimization in mixed search spaces work on each restart separately and sequentially instead of batching them. Here, we change this to batch the restarts, based on the new l-bfgs-b implementation that supports this. This speeds up mixed search spaces a lot (depending on the problem around 3-4x speedups). Differential Revision: D76517454
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Summary: So far, our optimization in mixed search spaces work on each restart separately and sequentially instead of batching them. Here, we change this to batch the restarts, based on the new l-bfgs-b implementation that supports this. This speeds up mixed search spaces a lot (depending on the problem around 3-4x speedups). Differential Revision: D76517454
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This pull request was exported from Phabricator. Differential Revision: D76517454 |
SamuelGabriel
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Summary: Pull Request resolved: meta-pytorch#2895 So far, our optimization in mixed search spaces work on each restart separately and sequentially instead of batching them. Here, we change this to batch the restarts, based on the new l-bfgs-b implementation that supports this. This speeds up mixed search spaces a lot (depending on the problem around 3-4x speedups). Differential Revision: D76517454
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Summary: So far, our optimization in mixed search spaces work on each restart separately and sequentially instead of batching them. Here, we change this to batch the restarts, based on the new l-bfgs-b implementation that supports this. This speeds up mixed search spaces a lot (depending on the problem around 3-4x speedups). Differential Revision: D76517454
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Summary: So far, our optimization in mixed search spaces work on each restart separately and sequentially instead of batching them. Here, we change this to batch the restarts, based on the new l-bfgs-b implementation that supports this. This speeds up mixed search spaces a lot (depending on the problem around 3-4x speedups). Differential Revision: D76517454
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This pull request was exported from Phabricator. Differential Revision: D76517454 |
SamuelGabriel
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Summary: Pull Request resolved: meta-pytorch#2895 So far, our optimization in mixed search spaces work on each restart separately and sequentially instead of batching them. Here, we change this to batch the restarts, based on the new l-bfgs-b implementation that supports this. This speeds up mixed search spaces a lot (depending on the problem around 3-4x speedups). Differential Revision: D76517454
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Summary: So far, our optimization in mixed search spaces work on each restart separately and sequentially instead of batching them. Here, we change this to batch the restarts, based on the new l-bfgs-b implementation that supports this. This speeds up mixed search spaces a lot (depending on the problem around 3-4x speedups). Differential Revision: D76517454
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This pull request was exported from Phabricator. Differential Revision: D76517454 |
SamuelGabriel
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Summary: So far, our optimization in mixed search spaces work on each restart separately and sequentially instead of batching them. Here, we change this to batch the restarts, based on the new l-bfgs-b implementation that supports this. This speeds up mixed search spaces a lot (depending on the problem around 3-4x speedups). Differential Revision: D76517454
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Summary: So far, our optimization in mixed search spaces work on each restart separately and sequentially instead of batching them. Here, we change this to batch the restarts, based on the new l-bfgs-b implementation that supports this. This speeds up mixed search spaces a lot (depending on the problem around 3-4x speedups). Differential Revision: D76517454
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This pull request was exported from Phabricator. Differential Revision: D76517454 |
SamuelGabriel
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Summary: So far, our optimization in mixed search spaces work on each restart separately and sequentially instead of batching them. Here, we change this to batch the restarts, based on the new l-bfgs-b implementation that supports this. This speeds up mixed search spaces a lot (depending on the problem around 3-4x speedups). Differential Revision: D76517454
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SamuelGabriel
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Summary: Pull Request resolved: meta-pytorch#2895 So far, our optimization in mixed search spaces work on each restart separately and sequentially instead of batching them. Here, we change this to batch the restarts, based on the new l-bfgs-b implementation that supports this. This speeds up mixed search spaces a lot (depending on the problem around 3-4x speedups). Differential Revision: D76517454
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Summary: So far, our optimization in mixed search spaces work on each restart separately and sequentially instead of batching them. Here, we change this to batch the restarts, based on the new l-bfgs-b implementation that supports this. This speeds up mixed search spaces a lot (depending on the problem around 3-4x speedups). Differential Revision: D76517454
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Summary: Pull Request resolved: meta-pytorch#2895 So far, our optimization in mixed search spaces work on each restart separately and sequentially instead of batching them. Here, we change this to batch the restarts, based on the new l-bfgs-b implementation that supports this. This speeds up mixed search spaces a lot (depending on the problem around 3-4x speedups). Differential Revision: D76517454
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Summary: So far, our optimization in mixed search spaces work on each restart separately and sequentially instead of batching them. Here, we change this to batch the restarts, based on the new l-bfgs-b implementation that supports this. This speeds up mixed search spaces a lot (depending on the problem around 3-4x speedups). Differential Revision: D76517454
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Summary: Pull Request resolved: meta-pytorch#2895 So far, our optimization in mixed search spaces work on each restart separately and sequentially instead of batching them. Here, we change this to batch the restarts, based on the new l-bfgs-b implementation that supports this. This speeds up mixed search spaces a lot (depending on the problem around 3-4x speedups). Differential Revision: D76517454
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Summary: So far, our optimization in mixed search spaces work on each restart separately and sequentially instead of batching them. Here, we change this to batch the restarts, based on the new l-bfgs-b implementation that supports this. This speeds up mixed search spaces a lot (depending on the problem around 3-4x speedups). Reviewed By: esantorella Differential Revision: D76517454
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Summary:
So far, our optimization in mixed search spaces work on each restart separately and sequentially instead of batching them.
Here, we change this to batch the restarts, based on the new l-bfgs-b implementation that supports this.
This speeds up mixed search spaces a lot (depending on the problem around 3-4x speedups).
Differential Revision: D76517454