Max Balandat

Yeah this is a known gotcha also in other contexts and there is [some discussion](https://dev-discuss.pytorch.org/t/pytorch-and-tensorfloat32/504) (championed by @mruberry to potentially move the default to be FP32 rather than TF32 on...

Hmm, if this is breaking also on some pytorch release versions (e.g. 1.11) then we probably want to patch it in our code. But I am actually not sure how...

Ultimately the hope is that the basic infrastructure for this will be implemented in pytorch proper (as it is for scipy / Tensorflow): https://github.com/pytorch/pytorch/issues/28341.

Sounds like some bug in your code? It’ll be hard to figure out what’s going wrong unless you can share the code that you’re running this on / provide a...

Can you provide a repro? The following works fine for me: ``` import torch ​from gpytorch.lazy import LazyEvaluatedKernelTensor from gpytorch.kernels import RBFKernel x1 = torch.rand(3, 2, requires_grad=True) # this can...

If it helps, you can also take a look at our convenience wrapper model for observed variances in BoTorch: https://github.com/pytorch/botorch/blob/master/botorch/models/gp_regression.py#L118-L127 There is also a PR open for the most likely...

Yeah you can compute the posterior prediction under your input `x2` if associated with a pair `(x2, y2)` - for an exact GP this will give you a MVN, and...

Hmm since this is KG it is a high dim optimization problem so it might be that the SLSQP solver is just too slow here. But your constraint is a...

Yeah I did think about this when designing the APIs, so this should be possible without too much trouble (if not we should fix that). Basically, as long as you...

Hmm could you elaborate a bit more on what exactly you mean by > I just tested using an NN ensemble within botorch and it works, both for analytical and...