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@saitcakmak saitcakmak released this 10 Nov 21:33
0.7.3
7eada74

Highlights

  • #1454 fixes a critical bug that affected multi-output BatchedMultiOutputGPyTorchModels that were using a Normalize or InputStandardize input transform and trained using fit_gpytorch_model/mll with sequential=True (which was the default until 0.7.3). The input transform buffers would be reset after model training, leading to the model being trained on normalized input data but evaluated on raw inputs. This bug had been affecting model fits since the 0.6.5 release.
  • #1479 changes the inheritance structure of Models in a backwards-incompatible way. If your code relies on isinstance checks with BoTorch Models, especially SingleTaskGP, you should revisit these checks to make sure they still work as expected.

Compatibility

  • Require linear_operator == 0.2.0 (#1491).

New Features

  • Introduce bvn, MVNXPB, TruncatedMultivariateNormal, and UnifiedSkewNormal classes / methods (#1394, #1408).
  • Introduce AffineInputTransform (#1461).
  • Introduce a subset_transform decorator to consolidate subsetting of inputs in input transforms (#1468).

Other Changes

  • Add a warning when using float dtype (#1193).
  • Let Pyre know that AcquisitionFunction.model is a Model (#1216).
  • Remove custom BlockDiagLazyTensor logic when using Standardize (#1414).
  • Expose _aug_batch_shape in SaasFullyBayesianSingleTaskGP (#1448).
  • Adjust PairwiseGP ScaleKernel prior (#1460).
  • Pull out fantasize method into a FantasizeMixin class, so it isn't so widely inherited (#1462, #1479).
  • Don't use Pyro JIT by default , since it was causing a memory leak (#1474).
  • Use get_default_partitioning_alpha for NEHVI input constructor (#1481).

Bug Fixes

  • Fix batch_shape property of ModelListGPyTorchModel (#1441).
  • Tutorial fixes (#1446, #1475).
  • Bug-fix for Proximal acquisition function wrapper for negative base acquisition functions (#1447).
  • Handle RuntimeError due to constraint violation while sampling from priors (#1451).
  • Fix bug in model list with output indices (#1453).
  • Fix input transform bug when sequentially training a BatchedMultiOutputGPyTorchModel (#1454).
  • Fix a bug in _fit_multioutput_independent that failed mll comparison (#1455).
  • Fix box decomposition behavior with empty or None Y (#1489).
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