Eren Akbiyik

@ianhi hi, those changes are merged but it seems blit is still not supported by ipympl backend's Figures (fig.canvas.supports_blit is still False). Do you happen to have a quick way...

@gpleiss thanks a lot! Here's the closest I got (though I am _really_ not knowledgeable with multi-output GP). ```python class MultiTaskGPModelWithDerivatives(gpytorch.models.ExactGP): def __init__(self, train_x, train_y, likelihood): super(MultiTaskGPModelWithDerivatives, self).__init__( train_x, train_y,...

++ to this. The proposed feature is crucial to me, especially for the parametrized pytest units. The general Python extension already handles it, but with this extension what I see...

@kondratyev-nv works perfectly, thanks! Time to add this extension to the recommended ones in vscode 😃

Seconding this. Would be a wonderful addition for research purposes.

@auzaheta thanks for the response, and I will open a new issue for that 👍

Hm got something interesting: ``` src/parser.c:1:10: error: 'tree_sitter/parser.h' file not found with include; use "quotes" instead #include ^~~~~~~~~~~~~~~~~~~~~~ "tree_sitter/parser.h" 1 error generated. shared:ERROR: 'C:/Users/ErenAkbiyik/Documents/GitHub/emsdk/upstream/bin\clang.exe -target wasm32-unknown-emscripten -D__EMSCRIPTEN_major__=1 -D__EMSCRIPTEN_minor__=39 -D__EMSCRIPTEN_tiny__=6 -D_LIBCPP_ABI_VERSION=2...

Yup it worked: ``emcc -o test.wasm -I src src/parser.c`` Agony to work with windows on these topics, really... But thanks a lot! To note, this also works: ``emcc -o test.wasm...

That certainly can be the case. Let me know if you need any more information, tree-sitter surely requires some Windows support :)

@ggerganov for FP16, yup. For FP32, 4x. As far as I understand your implementation switches between the two, so the benefit might be slightly more than 2x? The up-to-date documentation...