github ci (#83)

* github ci

.github/workflows/Documenter.yml

@@ -0,0 +1,20 @@
+name: Documentation
+
+on:
+  push:
+    branches:
+      - master
+    tags: '*'
+  pull_request:
+
+jobs:
+  docs-build:
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v2
+      - name: Install dependencies
+        run: julia --project=docs/ -e 'using Pkg; Pkg.develop(PackageSpec(path=pwd())); Pkg.instantiate(); Pkg.build(;verbose=true)'
+      - name: Build and deploy
+        env:
+          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
+        run: julia --project=docs/ docs/make.jl

.github/workflows/UnitTest.yml

@@ -0,0 +1,53 @@
+name: Unit Tests
+
+on:
+  pull_request:
+
+  push:
+    branches:
+      - master
+
+jobs:
+  Test:
+    strategy:
+      fail-fast: false
+      matrix:
+        os: [macos-latest, ubuntu-latest]
+        julia_version: ["1.0", "1", "nightly"]
+        exclude:
+          - os: macos-latest
+            julia_version: '1.0'
+
+    runs-on: ${{ matrix.os }}
+    env:
+      MPICH_INTERFACE_HOSTNAME: localhost
+      JULIA_MPIEXEC_ARGS: ${{ matrix.mpiexec_args }}
+
+    steps:
+    - name: Checkout
+      uses: actions/checkout@v2
+
+    - name: Install Julia 
+      uses: julia-actions/setup-julia@latest
+      with:
+        version: ${{ matrix.julia_version }}
+
+    # https://discourse.julialang.org/t/recommendation-cache-julia-artifacts-in-ci-services/35484
+    - name: Cache artifacts
+      uses: actions/cache@v1
+      env:
+        cache-name: cache-artifacts
+      with:
+        path: ~/.julia/artifacts
+        key: ${{ runner.os }}-test-${{ env.cache-name }}-${{ hashFiles('**/Project.toml') }}
+        restore-keys: |
+          ${{ runner.os }}-test-${{ env.cache-name }}-
+          ${{ runner.os }}-test-
+          ${{ runner.os }}-
+
+    - name: Disable broken dependencies on old Julia v1.0
+      if: matrix.julia_version == '1.0'
+      run: cp compat/Project.toml Project.toml 
+
+    - uses: julia-actions/julia-runtest@latest
+

Project.toml

@@ -1,7 +1,7 @@
 name = "TensorBoardLogger"
 uuid = "899adc3e-224a-11e9-021f-63837185c80f"
 authors = ["Filippo Vicentini <filippovicentini@gmail.com>"]
-version = "0.1.11"
+version = "0.1.12"
 
 [deps]
 CRC32c = "8bf52ea8-c179-5cab-976a-9e18b702a9bc"

README.md

@@ -1,5 +1,5 @@
 # TensorBoardLogger
-[![Build Status](https://travis-ci.org/PhilipVinc/TensorBoardLogger.jl.svg?branch=master)](https://travis-ci.org/PhilipVinc/TensorBoardLogger.jl) [![codecov](https://codecov.io/gh/PhilipVinc/TensorBoardLogger.jl/branch/master/graph/badge.svg)](https://codecov.io/gh/PhilipVinc/TensorBoardLogger.jl)
+[![codecov](https://codecov.io/gh/PhilipVinc/TensorBoardLogger.jl/branch/master/graph/badge.svg)](https://codecov.io/gh/PhilipVinc/TensorBoardLogger.jl)
 [![](https://img.shields.io/badge/docs-dev-blue.svg)](https://philipvinc.github.io/TensorBoardLogger.jl/dev/)
 
 **TensorBoardLogger.jl** is a native library for logging arbitrary data to

compat/Project.toml

@@ -0,0 +1,38 @@
+name = "TensorBoardLogger"
+uuid = "899adc3e-224a-11e9-021f-63837185c80f"
+authors = ["Filippo Vicentini <filippovicentini@gmail.com>"]
+version = "0.1.12"
+
+[deps]
+CRC32c = "8bf52ea8-c179-5cab-976a-9e18b702a9bc"
+ColorTypes = "3da002f7-5984-5a60-b8a6-cbb66c0b333f"
+FileIO = "5789e2e9-d7fb-5bc7-8068-2c6fae9b9549"
+FixedPointNumbers = "53c48c17-4a7d-5ca2-90c5-79b7896eea93"
+ImageCore = "a09fc81d-aa75-5fe9-8630-4744c3626534"
+ProtoBuf = "3349acd9-ac6a-5e09-bcdb-63829b23a429"
+Requires = "ae029012-a4dd-5104-9daa-d747884805df"
+StatsBase = "2913bbd2-ae8a-5f71-8c99-4fb6c76f3a91"
+
+[compat]
+ColorTypes = "0.7, 0.8, 0.9, 0.10"
+FileIO = "1"
+FixedPointNumbers = "0.6, 0.7, 0.8"
+ImageCore = "0.7, 0.8"
+ProtoBuf = "0.7, 0.8"
+Requires = "0.5, 1"
+StatsBase = "0.27, 0.28, 0.29, 0.30, 0.31, 0.32, 0.33"
+julia = "0.7, 1"
+
+[extras]
+ImageMagick = "6218d12a-5da1-5696-b52f-db25d2ecc6d1"
+LightGraphs = "093fc24a-ae57-5d10-9952-331d41423f4d"
+Logging = "56ddb016-857b-54e1-b83d-db4d58db5568"
+Plots = "91a5bcdd-55d7-5caf-9e0b-520d859cae80"
+QuartzImageIO = "dca85d43-d64c-5e67-8c65-017450d5d020"
+Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
+TestImages = "5e47fb64-e119-507b-a336-dd2b206d9990"
+ValueHistories = "98cad3c8-aec3-5f06-8e41-884608649ab7"
+WAV = "8149f6b0-98f6-5db9-b78f-408fbbb8ef88"
+
+[targets]
+test = ["Test", "TestImages", "ImageMagick", "Logging", "LightGraphs", "Plots", "WAV", "ValueHistories", "QuartzImageIO"]

docs/Project.toml

@@ -0,0 +1,3 @@
+[deps]
+Documenter = "e30172f5-a6a5-5a46-863b-614d45cd2de4"
+TensorBoardLogger = "899adc3e-224a-11e9-021f-63837185c80f"

test/runtests.jl

@@ -1,7 +1,6 @@
 using TensorBoardLogger, Logging
 using TensorBoardLogger: preprocess, summary_impl
 using Test
-using MLDatasets
 using TestImages
 using ImageCore
 using ColorTypes
@@ -139,43 +138,46 @@ end
     @test π != log_image(logger, "rand/CLN", rand(3, 10, 2), CLN, step = step)
     @test π != log_image(logger, "rand/LCN", rand(10, 3, 2), LCN, step = step)
 
-    sample = MNIST.traintensor(1:3)
-    @test  π != log_image(logger, "mnist/HWN", sample, HWN, step = step)
-    @test  π != log_image(logger, "mnist2/HWN", Gray.(sample), step = step)
-    sample = permutedims(sample, (2, 1, 3))
-    @test  π != log_image(logger, "mnist/WHN", sample, WHN, step = step)
-    @test  π != log_image(logger, "mnist2/WHN", Gray.(sample), WHN, step = step)
-    sample = permutedims(sample, (3, 2, 1))
-    @test  π != log_image(logger, "mnist/NHW", sample, NHW, step = step)
-    @test  π != log_image(logger, "mnist2/NHW", Gray.(sample), NHW, step = step)
-    sample = permutedims(sample, (1, 3, 2))
-    @test  π != log_image(logger, "mnist/NWH", sample, NWH, step = step)
-    @test  π != log_image(logger, "mnist2/NWH", Gray.(sample), NWH, step = step)
-    sample = testimage("toucan")
-    @test  π != log_image(logger, "toucan/auto", sample, step = step)
-    sample = [sample, sample, sample]
-    @test  π != log_images(logger, "toucans/auto", sample, step = step)
-    @test  π != log_images(logger, "toucans", sample, CHW, step = step)
-
-    sample = hcat(sample...)
-    sample = reshape(sample, (150, 162, 3))
-    @test  π != log_image(logger, "toucan/CHWN", sample, CHWN, step = step)
-    sample = permutedims(sample, (2, 1, 3))
-    @test  π != log_image(logger, "toucan/CWHN", sample, CWHN, step = step)
-    sample = channelview(sample) #CWHN
-    sample = permutedims(sample, (4, 1, 2, 3))
-    @test  π != log_image(logger, "toucan/NCWH", sample, NCWH, step = step)
-    sample = permutedims(sample, (1, 2, 4, 3))
-    @test  π != log_image(logger, "toucan/NCHW", sample, NCHW, step = step)
-    sample = permutedims(sample, (1, 4, 3, 2))
-    @test  π != log_image(logger, "toucan/NWHC", sample, NWHC, step = step)
-    sample = permutedims(sample, (1, 3, 2, 4))
-    @test  π != log_image(logger, "toucan/NHWC", sample, NHWC, step = step)
-    sample = permutedims(sample, (2, 3, 4, 1))
-    @test  π != log_image(logger, "toucan/HWCN", sample, HWCN, step = step)
-    sample = permutedims(sample, (2, 1, 3, 4))
-    @test  π != log_image(logger, "toucan/WHCN", sample, WHCN, step = step)
-
+    if VERSION >= v"1.3.0"
+        using MLDatasets: MNIST 
+
+        sample = MNIST.traintensor(1:3)
+        @test  π != log_image(logger, "mnist/HWN", sample, HWN, step = step)
+        @test  π != log_image(logger, "mnist2/HWN", Gray.(sample), step = step)
+        sample = permutedims(sample, (2, 1, 3))
+        @test  π != log_image(logger, "mnist/WHN", sample, WHN, step = step)
+        @test  π != log_image(logger, "mnist2/WHN", Gray.(sample), WHN, step = step)
+        sample = permutedims(sample, (3, 2, 1))
+        @test  π != log_image(logger, "mnist/NHW", sample, NHW, step = step)
+        @test  π != log_image(logger, "mnist2/NHW", Gray.(sample), NHW, step = step)
+        sample = permutedims(sample, (1, 3, 2))
+        @test  π != log_image(logger, "mnist/NWH", sample, NWH, step = step)
+        @test  π != log_image(logger, "mnist2/NWH", Gray.(sample), NWH, step = step)
+        sample = testimage("toucan")
+        @test  π != log_image(logger, "toucan/auto", sample, step = step)
+        sample = [sample, sample, sample]
+        @test  π != log_images(logger, "toucans/auto", sample, step = step)
+        @test  π != log_images(logger, "toucans", sample, CHW, step = step)
+
+        sample = hcat(sample...)
+        sample = reshape(sample, (150, 162, 3))
+        @test  π != log_image(logger, "toucan/CHWN", sample, CHWN, step = step)
+        sample = permutedims(sample, (2, 1, 3))
+        @test  π != log_image(logger, "toucan/CWHN", sample, CWHN, step = step)
+        sample = channelview(sample) #CWHN
+        sample = permutedims(sample, (4, 1, 2, 3))
+        @test  π != log_image(logger, "toucan/NCWH", sample, NCWH, step = step)
+        sample = permutedims(sample, (1, 2, 4, 3))
+        @test  π != log_image(logger, "toucan/NCHW", sample, NCHW, step = step)
+        sample = permutedims(sample, (1, 4, 3, 2))
+        @test  π != log_image(logger, "toucan/NWHC", sample, NWHC, step = step)
+        sample = permutedims(sample, (1, 3, 2, 4))
+        @test  π != log_image(logger, "toucan/NHWC", sample, NHWC, step = step)
+        sample = permutedims(sample, (2, 3, 4, 1))
+        @test  π != log_image(logger, "toucan/HWCN", sample, HWCN, step = step)
+        sample = permutedims(sample, (2, 1, 3, 4))
+        @test  π != log_image(logger, "toucan/WHCN", sample, WHCN, step = step)
+    end
 end
 
 @testset "Image processing interface" begin
@@ -274,7 +276,9 @@ end
     include("Optional/test_Plots.jl")
     # Don't run PyPlot tests until I figure a way to install the dependencies
     #include("Optional/test_PyPlot.jl")
-    include("Optional/test_Tracker.jl")
+    if VERSION >= v"1.5.0"
+        include("Optional/test_Tracker.jl")
+    end
 end
 
 @testset "Logger dispatch overrides" begin