Reference from TensorFlow: https://www.tensorflow.org/api_docs/cc/class/tensorflow/ops/matrix-band-part

This op is used by the Music Transformer model.

Howdy folks,

GPyTorch provides Gaussian likelihood objects for fixed noise (FixedNoiseGaussianLikelihood) and for multi-task models (MultitaskGaussianLikelihood). I was wondering if someone could provide me some guidance on how to get a fixed noise multi-task Gaussian likelihood?

Thanks in advance

Galto

I'd like to be able to do a GROUP BY aggregation and then filter the resulting aggregated data based on a condition using the HAVING clause while including the aggregation column. In the 2020-11-09 nightlies, this looks like it's not supported. Based on the Calcite reference It looks like this could be possible.

One use case might be doing a gro

Just print out the CMake version at the beginning of the configuration, so that when issues are filed with CMake printouts, we already have that information (see #121).

Also print compiler type and compiler version.

Maybe there's some kind of a standard set of CMake variables and version strings to print?