Maintenance Release, I-BNN Kernel

Compatibility

• Pin NumPy to <2.0 (#2382).
• Require GPyTorch 1.12 and LinearOperator 0.5.2 (#2408, #2441).

New features

• Support evaluating posterior predictive in MultiTaskGP (#2375).
• Infinite width BNN kernel (#2366) and the corresponding tutorial (#2381).
• An improved elliptical slice sampling implementation (#2426).
• Add a helper for producing a DeterministicModel using a Matheron path (#2435).

Deprecations and Deletions

• Stop allowing some arguments to be ignored in acqf input constructors (#2356).
• Reap deprecated **kwargs argument from optimize_acqf variants (#2390).
• Delete DeterministicPosterior and DeterministicSampler (#2391, #2409, #2410).
• Removed deprecated CachedCholeskyMCAcquisitionFunction (#2399).
• Deprecate model conversion code (#2431).
• Deprecate gp_sampling module in favor of pathwise sampling (#2432).

Bug Fixes

• Fix observation noise shape for batched models (#2377).
• Fix sample_all_priors to not sample one value for all lengthscales (#2404).
• Make (Log)NoisyExpectedImprovement create a correct fantasy model with
  non-default SingleTaskGP (#2414).

Other Changes

• Various documentation improvements (#2395, #2425, #2436, #2437, #2438).
• Clean up **kwargs arguments in qLogNEI (#2406).
• Add a NumericsWarning for Legacy EI implementations (#2429).