Comments (4)
Now this one is difficult, especially if efficiency is important (it is). We will probably end up with different backends with every single once having different constrains on elements which is possible to put into matrices. It's:
- Double, Float, and Complex Double/Float for BLAS
(Storable a)/(Unbox a)
if we're we store data invector
s- Anything else really. It's only bounded by craziness of backend implementor
Unifying all of these going to be difficult
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We've got to try at least! I have a couple ideas to put on the table for this (based on closed type families).
from dh-core.
@Shimuuar I'm wondering where to put any typeclasses that must be shared between dense-linear-algebra
and the main package. In DLA itself, as a new module that will get re-exported ?
from dh-core.
We'll probably split type classes into separate package in the end. But it sounds fine at the moment
BTW I have some BLAS bindings lying around. I should find them
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Related Issues (20)
- datasets: add unit tests HOT 7
- datasets : split off datasets-core
- analyze : evaluate `streaming` for RFrame HOT 9
- analyze: generate and check random test data HOT 17
- datasets : add ARFF format HOT 10
- datasets: remove data-default-class HOT 1
- datasets: Add fashion-mnist
- Cross validation layer HOT 1
- Bump Stackage to latest Nightly
- datasets: fix benchmark dataset folder HOT 1
- Add test coverage HOT 1
- Cannot build project on macOS 10.14.3 HOT 4
- dense-linear-algebra : Add chronos-bench benchmarks HOT 4
- dense-linear-algebra : Weird memory and runtime behavior from `generateSym` HOT 2
- dense-linear-algebra: Getting stream fusion to work across `Matrix`'s HOT 5
- Add QMNIST
- dense-linear-algebra: Add support for SIMD instructions
- BostonHousing data set URL needs to be updated. HOT 1
- Cut new release
- Move CI from Travis to Github Actions
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