diff --git a/.github/workflows/CI.yml b/.github/workflows/CI.yml index e104d019..d04a63a9 100644 --- a/.github/workflows/CI.yml +++ b/.github/workflows/CI.yml @@ -36,12 +36,12 @@ jobs: os: windows-latest arch: x64 steps: - - uses: actions/checkout@v2 - - uses: julia-actions/setup-julia@v1 + - uses: actions/checkout@v4 + - uses: julia-actions/setup-julia@v2 with: version: ${{ matrix.version }} arch: ${{ matrix.arch }} - - uses: actions/cache@v1 + - uses: actions/cache@v4 env: cache-name: cache-artifacts with: @@ -59,8 +59,9 @@ jobs: GROUP: AbstractGPs - uses: julia-actions/julia-processcoverage@v1 if: matrix.version == '1' && matrix.os == 'ubuntu-latest' - - name: Send coverage + - uses: codecov/codecov-action@v5 if: matrix.version == '1' && matrix.os == 'ubuntu-latest' - uses: codecov/codecov-action@v1 with: - file: lcov.info + files: lcov.info + token: ${{ secrets.CODECOV_TOKEN }} + fail_ci_if_error: false diff --git a/.github/workflows/PPL.yml b/.github/workflows/PPL.yml index 9f915c5f..40650247 100644 --- a/.github/workflows/PPL.yml +++ b/.github/workflows/PPL.yml @@ -26,12 +26,12 @@ jobs: arch: - x64 steps: - - uses: actions/checkout@v2 - - uses: julia-actions/setup-julia@v1 + - uses: actions/checkout@v4 + - uses: julia-actions/setup-julia@v2 with: version: ${{ matrix.version }} arch: ${{ matrix.arch }} - - uses: actions/cache@v1 + - uses: actions/cache@v4 env: cache-name: cache-artifacts with: diff --git a/.github/workflows/format.yml b/.github/workflows/format.yml index 06b8dbe4..ebe1ac4b 100644 --- a/.github/workflows/format.yml +++ b/.github/workflows/format.yml @@ -13,7 +13,7 @@ jobs: format: runs-on: ubuntu-latest steps: - - uses: actions/checkout@v2 + - uses: actions/checkout@v4 - uses: julia-actions/setup-julia@latest with: version: 1 diff --git a/examples/2-deep-kernel-learning/script.jl b/examples/2-deep-kernel-learning/script.jl index 9605114c..9ce11164 100644 --- a/examples/2-deep-kernel-learning/script.jl +++ b/examples/2-deep-kernel-learning/script.jl @@ -70,7 +70,7 @@ plot!(vcat(x_test...), mean.(pred_init); ribbon=std.(pred_init), label="Predicti # ## Training nmax = 200 -opt = Flux.ADAM(0.1) +opt = Flux.Adam(0.1) anim = Animation() for i in 1:nmax