Deepak Cherian
Deepak Cherian
> The pint tests pass so all that's left is to figure out how to fix the sparse tests. Can we xfail these new tests and merge for now? As...
> sparse seems to have different dtype casting behavior (it casts e.g. a mean of float16 to float64, while numpy stays at float16), so I'll need to figure out how...
> I also wonder whether we should have a separate job for hypothesis: this makes CI run quite a bit longer (about 70s on my machine just for sparse and...
It makes sense to me that chunking along a dimension `dim` should not chunk variables that don't have that dimension. @shoyer what do you think
Just chiming in quickly. I think there's definitely interest in doing this through NEP-18. It looks like CUDA has implemented `__array_function__` (https://docs-cupy.chainer.org/en/stable/reference/interoperability.html) so many things may "just work". There was...
Thanks @keewis this is a great list I guess you didn't run this on main? The reductions all..var should have examples now. So do head tail and thin. the cumulative...
Do you have to go through `__array__` (see #6845) or would accessing the underlying array using `DataArray.data` work for you? We could also add some properties under the `DataArray.cupy` namespace...
cc @jacobtomlinson as requested on Twitter
Shall we point this at the `main` branch instead?
I think we should move forward here. Are there any real blockers?