docker: edge image

SyneRBI · Jun 27, 2024 · b4e3d85 · b4e3d85
1 parent 64d9afc
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diff --git a/.github/workflows/run.yml b/.github/workflows/run.yml
@@ -8,7 +8,7 @@ jobs:
   check:
     runs-on: ubuntu-latest
     container:
-      image: ghcr.io/synerbi/sirf:latest
+      image: ghcr.io/synerbi/sirf:edge
       options: --user root  # https://github.com/actions/checkout/issues/956
     steps:
     - uses: actions/checkout@v4

diff --git a/README.md b/README.md
@@ -13,7 +13,7 @@ The organisers will provide GPU-enabled cloud runners which have access to large
 ## Layout
 
 Only [`main.py`](main.py) is required.
-[SIRF](https://github.com/SyneRBI/SIRF), [CIL](https://github.com/TomographicImaging/CIL), and CUDA are already installed (using [synerbi/sirf:latest-gpu](https://github.com/synerbi/SIRF-SuperBuild/pkgs/container/sirf)).
+[SIRF](https://github.com/SyneRBI/SIRF), [CIL](https://github.com/TomographicImaging/CIL), and CUDA are already installed (using [synerbi/sirf](https://github.com/synerbi/SIRF-SuperBuild/pkgs/container/sirf)).
 Additional dependencies may be specified via `apt.txt`, `environment.yml`, and/or `requirements.txt`.
 
 - (required) `main.py`: must define a `class Submission(cil.optimisation.algorithms.Algorithm)`
@@ -28,7 +28,8 @@ Some `example*.ipynb` notebooks are provided and can be used for experimenting.
 The organisers will effectively execute:
 
 ```sh
-docker run --rm -it -v data:/mnt/share/petric:ro ghcr.io/synerbi/sirf:latest-gpu
+docker run --rm -it -v data:/mnt/share/petric:ro ghcr.io/synerbi/sirf:edge-gpu
+# or ideally ghcr.io/synerbi/sirf:latest-gpu after the next SIRF release!
 conda install tensorboard tensorboardx
 python
 ```