Bump versions: gpytorch >= 1.2, torch >= 1.6 #535
Closed
Conversation
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
There was a problem hiding this comment.
@Balandat has imported this pull request. If you are a Facebook employee, you can view this diff on Phabricator.
facebook-github-bot
pushed a commit
that referenced
this pull request
Sep 11, 2020
Summary: #### New Features * Constrained Multi-Objective tutorial (#493) * Multi-fidelity Knowledge Gradient tutorial (#509) * Support for batch qMC sampling (#510) * New `evaluate` method for `qKnowledgeGradient` (#515) #### Compatibility * Require PyTorch >=1.6 (#535) * Require GPyTorch >=1.2 (#535) * Remove deprecated `botorch.gen module` (#532) #### Bug fixes * Fix bad backward-indexing of task_feature in `MultiTaskGP` (#485) * Fix bounds in constrained Branin-Currin test function (#491) * Fix max_hv for C2DTLZ2 and make Hypervolume always return a float (#494) * Fix bug in `draw_sobol_samples` that did not use the proper effective dimension (#505) * Fix constraints for `q>1` in `qExpectedHypervolumeImprovement` (c80c4fd) * Only use feasible observations in partitioning for `qExpectedHypervolumeImprovement` in `get_acquisition_function` (#523) * Improved GPU compatibility for `PairwiseGP` (#537) #### Performance Improvements * Reduce memory footprint in `qExpectedHypervolumeImprovement` (#522) * Add `(q)ExpectedHypervolumeImprovement` to nonnegative functions [for better initialization] (#496) #### Other changes * Support batched `best_f` in `qExpectedImprovement` (#487) * Allow to return full tree of solutions in `OneShotAcquisitionFunction` (#488) * Added `construct_inputs` class method to models to programmatically construct the inputs to the constructor from a standardized `TrainingData` representation (#477, #482, 3621198) * Acqusiition function constructors now accept catch-all `**kwargs` options (#478, e5b6935) * Use `psd_safe_cholesky` in `qMaxValueEntropy` for better numerical stabilty (#518) * Added `WeightedMCMultiOutputObjective` (81d91fd) * Add ability to specify `outcomes` to all multi-output objectives (#524) * Return optimization output in `info_dict` for `fit_gpytorch_scipy` (#534) * Use `setuptools_scm` for versioning (#539) Pull Request resolved: #542 Reviewed By: sdaulton Differential Revision: D23645619 Pulled By: Balandat fbshipit-source-id: 0384f266cbd517aacd5778a6e2680336869bb31c
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
No description provided.