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Relax! Flux is the ML library that doesn't make you tensor
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Merge #1013 
1013: Adapt to GPUArrays/CuArrays changes r=dhairyagandhi96 a=maleadt

Changes in response to a29df67184 and https://github.com/JuliaGPU/CuArrays.jl/pull/576. I suppose the next CuArrays release will need to be breaking because of this.

Maybe the `crossentropy` signature needs to be adjusted to support integer vectors, but I'll leave that decision up to Flux developers. This at least is the quick fix to get the tests passing again.

Co-authored-by: Tim Besard <tim.besard@gmail.com>
 		2020-02-03 16:29:48 +00:00
.github Create FUNDING.yml 2019-06-26 17:51:54 -04:00
docs Add custom training loops to docs 2020-01-16 21:57:59 +00:00
paper use https instead of http for web links 2019-04-25 11:04:03 +00:00
src Remove unused imports. 2020-01-29 12:15:41 +01:00
test Don't invoke GPU crossentropy with integers. 2020-01-31 08:22:54 +01:00
.gitattributes Restore purity 2019-09-08 16:15:35 +01:00
.gitignore modernize documentation 2019-01-10 15:06:11 +01:00
.gitlab-ci.yml test on julia 1.3+ 2020-01-13 13:45:40 +05:30
.travis.yml doc tests on julia 1.3 2020-01-13 14:10:34 +05:30
CITATION.bib Create CITATION.bib 2019-05-04 18:49:19 -04:00
LICENSE.md Update LICENSE.md 2019-04-15 16:59:16 -04:00
Manifest.toml compat bounds for a couple more packages 2020-01-13 17:38:59 +05:30
NEWS.md Merge branch 'dg/news' of https://github.com/FluxML/Flux.jl into dg/news 2019-11-28 23:57:30 +05:30
Project.toml bump Flux version to v0.10.1 2020-01-13 18:16:29 +05:30
README.md Update README.md 2019-12-19 09:44:17 -05:00
bors.toml bump version to 10.1 2020-01-13 13:41:25 +05:30

README.md

Build Status DOI

Flux is an elegant approach to machine learning. It's a 100% pure-Julia stack, and provides lightweight abstractions on top of Julia's native GPU and AD support. Flux makes the easy things easy while remaining fully hackable.

] add Flux

See the documentation or the model zoo for examples.

If you use Flux in your research, please cite our work.