Use JuliaGPU's GitLab CI setup

.gitignore

@@ -1,3 +1,3 @@
 .DS_Store
-/Manifest.toml
+Manifest.toml
 /dev/

.gitlab-ci.yml

@@ -1,60 +1,16 @@
-image: "julia:1"
-
-variables:
-  JULIA_DEPOT_PATH: "$CI_PROJECT_DIR/.julia/"
-  JULIA_NUM_THREADS: '4'
-
-cache:
-  paths:
-    - .julia/
-
-stages:
-  - build
-  - test
-
-build:
-  stage: build
-  tags:
-    - 'p6000'
-  script:
-    - curl https://julialang-s3.julialang.org/bin/linux/x64/1.3/julia-1.3.0-linux-x86_64.tar.gz -o julia.tar.gz
-    - unp julia.tar.gz
-    - export PATH="$(pwd)/julia-1.3.0/bin:$PATH"
-    - julia -e "using InteractiveUtils;
-                versioninfo()"
-    - julia --project -e "using Pkg; Pkg.build(); using SparseDiffTools"
-  only:
-  - master
-  - tags
-  - external
-  - pushes
-  artifacts:
-    untracked: true
-    paths:
-      - .julia/**/*
-      - julia-1.3.0/**/*
-
-test-GPU:
-  stage: test
-  tags:
-    - 'p6000'
-  dependencies:
-    - build
-  variables:
-    GROUP: "GPU"
-  script:
-    - export PATH="$(pwd)/julia-1.3.0/bin:$PATH"
-    - julia -e "using InteractiveUtils;
-                versioninfo()"
-    - julia --project -e "using Pkg; Pkg.add(\"CuArrays\");
-                          Pkg.test(\"SparseDiffTools\"; coverage=true);"
-  only:
-  - master
-  - tags
-  - external
-  - pushes
-  artifacts:
-    untracked: true
-    paths:
-      - .julia/**/*
-      - julia-1.3.0/**/*
+include: https://raw.githubusercontent.com/JuliaGPU/gitlab-ci/master/templates/v6.yml
+
+variables:
+  JULIA_NUM_THREADS: 4
+
+.base:
+  extends:
+    - .julia:1.4
+    - .test
+  tags:
+    - nvidia
+
+test-GPU:
+  extends: .base
+  variables:
+    GROUP: GPU

Project.toml

@@ -32,6 +32,7 @@ julia = "1.2"
 BandedMatrices = "aae01518-5342-5314-be14-df237901396f"
 BlockBandedMatrices = "ffab5731-97b5-5995-9138-79e8c1846df0"
 IterativeSolvers = "42fd0dbc-a981-5370-80f2-aaf504508153"
+Pkg = "44cfe95a-1eb2-52ea-b672-e2afdf69b78f"
 Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
 SafeTestsets = "1bc83da4-3b8d-516f-aca4-4fe02f6d838f"
 SparsityDetection = "684fba80-ace3-11e9-3d08-3bc7ed6f96df"
@@ -40,4 +41,4 @@ Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
 Zygote = "e88e6eb3-aa80-5325-afca-941959d7151f"
 
 [targets]
-test = ["Test", "BandedMatrices", "BlockBandedMatrices", "IterativeSolvers", "Random", "SafeTestsets", "Zygote", "SparsityDetection", "StaticArrays"]
+test = ["Test", "BandedMatrices", "BlockBandedMatrices", "IterativeSolvers", "Pkg", "Random", "SafeTestsets", "Zygote", "SparsityDetection", "StaticArrays"]

test/gpu/Project.toml

@@ -0,0 +1,2 @@
+[deps]
+CuArrays = "3a865a2d-5b23-5a0f-bc46-62713ec82fae"

test/runtests.jl

@@ -1,9 +1,16 @@
+using Pkg
 using SafeTestsets
 
 const GROUP = get(ENV, "GROUP", "All")
 const is_APPVEYOR = ( Sys.iswindows() && haskey(ENV,"APPVEYOR") )
 const is_TRAVIS = haskey(ENV,"TRAVIS")
 
+function activate_gpu_env()
+    Pkg.activate("gpu")
+    Pkg.develop(PackageSpec(path=dirname(@__DIR__)))
+    Pkg.instantiate()
+end
+
 if GROUP == "All"
     @time @safetestset "Exact coloring via contraction" begin include("test_contraction.jl") end
     @time @safetestset "Greedy distance-1 coloring" begin include("test_greedy_d1.jl") end
@@ -17,5 +24,6 @@ if GROUP == "All"
 end
 
 if GROUP == "GPU"
+    activate_gpu_env()
     @time @safetestset "GPU AD" begin include("test_gpu_ad.jl") end
 end