Changelog for 0.8.2

.conda/meta.yaml

@@ -17,7 +17,7 @@ requirements:
     - setuptools
     - setuptools_scm
   run:
-    - pytorch >=1.11
+    - pytorch >=1.12
     - gpytorch ==1.9.1
     - linear_operator ==0.3.0
     - scipy

CHANGELOG.md

@@ -2,6 +2,48 @@
 
 The release log for BoTorch.
 
+## [0.8.2] - Feb 23, 2023
+
+#### Compatibility
+* Require PyTorch >= 1.12 (#1699).
+
+#### New Features
+* Introduce pathwise sampling API for efficiently sampling functions from (approximate) GP priors and posteriors (#1463).
+* Add `OneHotToNumeric` input transform (#1517).
+* Add `get_rounding_input_transform` utility for constructing rounding input transforms (#1531).
+* Introduce `EnsemblePosterior` (#1636).
+* Inducing Point Allocators for Sparse GPs (#1652).
+* Pass `gen_candidates` callable in `optimize_acqf` (#1655).
+* Adding `logmeanexp` and `logdiffexp` numerical utilities (#1657).
+
+#### Other changes
+* Warn if inoperable keyword arguments are passed to optimizers (#1421).
+* Add `BotorchTestCase.assertAllClose` (#1618).
+* Add `sample_shape` property to `ListSampler` (#1624).
+* Do not filter out `BoTorchWarning`s by default (#1630).
+* Introduce a `DeterministicSampler` (#1641).
+* Warn when optimizer kwargs are being ignored in BoTorch optim utils `_filter_kwargs` (#1645).
+* Don't use `functools.lru_cache` on methods (#1650).
+* More informative error when someone adds a module without updating the corresponding rst file (#1653).
+* Make indices a buffer in `AffineInputTransform` (#1656).
+* Clean up `optimize_acqf` and `_make_linear_constraints` (#1660, #1676).
+* Support NaN `max_reference_point` in `infer_reference_point` (#1671).
+* Use `_fast_solves` in `HOGP.posterior` (#1682).
+* Approximate qPI using `MVNXPB` (#1684).
+* Improve filtering for `cache_root` in `CachedCholeskyMCAcquisitionFunction` (#1688).
+* Add option to disable retrying on optimization warning (#1696).
+
+#### Bug fixes
+* Fix normalization in Chebyshev scalarization (#1616).
+* Fix `TransformedPosterior` missing batch shape error in `_update_base_samples` (#1625).
+* Detach `coefficient` and `offset` in `AffineTransform` in eval mode (#1642).
+* Fix pickle error in `TorchPosterior` (#1644).
+* Fix shape error in `optimize_acqf_cyclic` (#1648).
+* Fixed bug where `optimize_acqf` didn't work with different batch sizes (#1668).
+* Fix EUBO optimization error when two Xs are identical (#1670).
+* Bug fix: `_filter_kwargs` was erroring when provided a function without a `__name__` attribute (#1678).
+
+
 ## [0.8.1] - Jan 5, 2023
 
 ### Highlights

README.md

@@ -56,7 +56,7 @@ Optimization simply use Ax.
 
 **Installation Requirements**
 - Python >= 3.8
-- PyTorch >= 1.11
+- PyTorch >= 1.12
 - gpytorch == 1.9.1
 - linear_operator == 0.3.0
 - pyro-ppl >= 1.8.4

environment.yml

@@ -4,7 +4,7 @@ channels:
   - gpytorch
   - conda-forge
 dependencies:
-  - pytorch>=1.11
+  - pytorch>=1.12
   - gpytorch==1.9.1
   - linear_operator==0.3.0
   - scipy

requirements.txt

@@ -1,6 +1,6 @@
 multipledispatch
 scipy
-torch>=1.11
+torch>=1.12
 pyro-ppl>=1.8.4
 gpytorch==1.9.1
 linear_operator==0.3.0