From 43f7724df0bad1151121fcb6421cd024417b67fb Mon Sep 17 00:00:00 2001 From: Rafael Date: Tue, 11 Oct 2022 18:31:58 -0400 Subject: [PATCH] typo --- .github/workflows/CI.yml | 9 +++++++++ README.md | 2 +- 2 files changed, 10 insertions(+), 1 deletion(-) diff --git a/.github/workflows/CI.yml b/.github/workflows/CI.yml index bfe0bda..f215c5f 100644 --- a/.github/workflows/CI.yml +++ b/.github/workflows/CI.yml @@ -14,6 +14,11 @@ jobs: test: name: Julia ${{ matrix.version }} - ${{ matrix.os }} - ${{ matrix.arch }} runs-on: ${{ matrix.os }} + env: + DEVITO_ARCH: gcc-9 + DEVITO_LANGUAGE: "openmp" + DEVITO_LOGGING: "ERROR" + OMP_NUM_THREADS: 2 strategy: fail-fast: false @@ -43,6 +48,10 @@ jobs: version: ${{ matrix.version }} arch: ${{ matrix.arch }} + - name: Install GCC 9 + if : runner.os == 'macOS' + run : brew install gcc@9 + - name: Run tests uses: julia-actions/julia-runtest@latest diff --git a/README.md b/README.md index 54d96b0..578987a 100644 --- a/README.md +++ b/README.md @@ -25,7 +25,7 @@ d_sim = A*p A complete runnable script with the above example is [here](https://github.com/slimgroup/PhotoAcoustic.jl/blob/main/examples/basic_photo_operator_2d.jl) -In order to solve photoacoustic inverse problems in a variational framework, we also need the adjoint photoacoustic operator ``A^{\top}``. In this package, we [derive](https://slimgroup.github.io/PhotoAcoustic.jl/dev/derivations/ and implement the adjoint). The operator can be accessed with simple linear algebra notation: +In order to solve photoacoustic inverse problems in a variational framework, we also need the adjoint photoacoustic operator ``A^{\top}``. In this package, we [derive](https://slimgroup.github.io/PhotoAcoustic.jl/dev/derivations/) and implement the adjoint. The operator can be accessed with simple linear algebra notation: ```Julia # Forward simulation d_sim = A*p