Bug with GridInterpolationKernel and Variables with 'requires_grad=True'

[samuelstanton]

Currently trying to evaluate a GP using GridInterpolationKernel on test points stored as torch.nn.Parameter.

Line 89 in utils/interpolation.py results in an assertion error from
assert not ctx.needs_input_grad[2] in torch/autograd/_functions/tensor.py

You can produce this error by putting
x = Variable(torch.Tensor(1, 2).uniform_(), requires_grad=True)
model(x)
at the end of the kissgp_kronecker_product_regression.ipython notebook in examples.

This issue does not occur when using RBFKernel or SpectralMixtureKernel
I reproduced this issue after doing a fresh pull and install of gpytorch, traceback attached.

traceback.txt

[gpleiss]

Which version of PyTorch are you using?

[samuelstanton]

0.3.1

[gpleiss]

Sorry for the slow reply. I'll investigate today.

[jacobrgardner]

@samuelstanton @gpleiss Fixed by 8b50f2f