Minor fixes

Project.toml

@@ -1,7 +1,7 @@
 name = "Conflux"
 uuid = "2703a059-2ab6-41ff-bfd0-de7e7f183509"
 authors = ["Anton Oresten <anton.oresten42@gmail.com>"]
-version = "1.0.0-DEV"
+version = "0.0.1"
 
 [deps]
 CUDA = "052768ef-5323-5732-b1bb-66c8b64840ba"
@@ -10,7 +10,7 @@ NCCL = "3fe64909-d7a1-4096-9b7d-7a0f12cf0f6b"
 cuDNN = "02a925ec-e4fe-4b08-9a7e-0d78e3d38ccd"
 
 [compat]
-CUDA = "4, 5"
+CUDA = "5"
 Flux = "0.14"
 NCCL = "0.1"
 cuDNN = "1"

README.md

@@ -2,10 +2,7 @@
 
 [![Latest Release](https://img.shields.io/github/release/MurrellGroup/Conflux.jl.svg)](https://github.com/MurrellGroup/Conflux.jl/releases/latest)
 [![MIT license](https://img.shields.io/badge/license-MIT-green.svg)](https://opensource.org/license/MIT)
-[![Documentation](https://img.shields.io/badge/docs-stable-blue.svg)](https://MurrellGroup.github.io/Conflux.jl/stable/)
 [![Documentation](https://img.shields.io/badge/docs-latest-blue.svg)](https://MurrellGroup.github.io/Conflux.jl/dev/)
-[![Status](https://github.com/MurrellGroup/Conflux.jl/actions/workflows/CI.yml/badge.svg?branch=main)](https://github.com/MurrellGroup/Conflux.jl/actions/workflows/CI.yml?query=branch%3Amain)
-[![Coverage](https://codecov.io/gh/MurrellGroup/Conflux.jl/branch/main/graph/badge.svg)](https://codecov.io/gh/MurrellGroup/Conflux.jl)
 
 Conflux.jl is a toolkit designed to enable data parallelism for [Flux.jl](https://github.com/FluxML/Flux.jl) models by simplifying the process of replicating them across multiple GPUs on a single node, and by leveraging [NCCL.jl](https://github.com/JuliaGPU/NCCL.jl) for efficient inter-GPU communication. This package aims to provide a straightforward and intuitive interface for multi-GPU training, requiring minimal changes to existing code and training loops.
 

docs/make.jl

@@ -9,12 +9,11 @@ makedocs(;
     sitename="Conflux.jl",
     doctest=false,
     format=Documenter.HTML(;
-        edit_link="main",
-        assets=String[],
+        prettyurls = get(ENV, "CI", "false") == "true",
     ),
     pages=[
         "Home" => "index.md",
-        "API Reference" => "API.md",
+        "API Reference" => "reference.md",
     ],
     checkdocs=:all,
 )

docs/src/index.md

@@ -6,10 +6,7 @@ CurrentModule = Conflux
 
 [![Latest Release](https://img.shields.io/github/release/MurrellGroup/Conflux.jl.svg)](https://github.com/MurrellGroup/Conflux.jl/releases/latest)
 [![MIT license](https://img.shields.io/badge/license-MIT-green.svg)](https://opensource.org/license/MIT)
-[![Documentation](https://img.shields.io/badge/docs-stable-blue.svg)](https://MurrellGroup.github.io/Conflux.jl/stable/)
 [![Documentation](https://img.shields.io/badge/docs-latest-blue.svg)](https://MurrellGroup.github.io/Conflux.jl/dev/)
-[![Status](https://github.com/MurrellGroup/Conflux.jl/actions/workflows/CI.yml/badge.svg?branch=main)](https://github.com/MurrellGroup/Conflux.jl/actions/workflows/CI.yml?query=branch%3Amain)
-[![Coverage](https://codecov.io/gh/MurrellGroup/Conflux.jl/branch/main/graph/badge.svg)](https://codecov.io/gh/MurrellGroup/Conflux.jl)
 
 Conflux.jl is a toolkit designed to enable data parallelism for [Flux.jl](https://github.com/FluxML/Flux.jl) models by simplifying the process of replicating them across multiple GPUs on a single node, and by leveraging [NCCL.jl](https://github.com/JuliaGPU/NCCL.jl) for efficient inter-GPU communication. This package aims to provide a straightforward and intuitive interface for multi-GPU training, requiring minimal changes to existing code and training loops.