|
55 | 55 | run: | |
56 | 56 | DOCKER_BUILDKIT=1 docker build . \ |
57 | 57 | --build-arg RUNTIMES=all \ |
| 58 | + --label name="mlserver" \ |
| 59 | + --label vendor="SeldonIO" \ |
| 60 | + --label version="${{ github.event.inputs.version }}" \ |
| 61 | + --label release="${{ github.event.inputs.version }}" \ |
| 62 | + --label summary="An open source inference server for your machine learning models." \ |
| 63 | + --label description="MLServer aims to provide an easy way to start serving your machine learning models through a REST and gRPC interface, fully compliant with KFServing’s V2 Dataplane spec." \ |
| 64 | + --label maintainer="[email protected]" \ |
58 | 65 | -t $MLSERVER_IMAGE |
59 | 66 | - name: Scan Docker Image |
60 | 67 | uses: snyk/actions/docker@master |
@@ -126,6 +133,13 @@ jobs: |
126 | 133 | run: | |
127 | 134 | DOCKER_BUILDKIT=1 docker build . \ |
128 | 135 | --build-arg RUNTIMES="" \ |
| 136 | + --label name="mlserver" \ |
| 137 | + --label vendor="SeldonIO" \ |
| 138 | + --label version="${{ github.event.inputs.version }}" \ |
| 139 | + --label release="${{ github.event.inputs.version }}" \ |
| 140 | + --label summary="An open source inference server for your machine learning models." \ |
| 141 | + --label description="MLServer aims to provide an easy way to start serving your machine learning models through a REST and gRPC interface, fully compliant with KFServing’s V2 Dataplane spec." \ |
| 142 | + --label maintainer="[email protected]" \ |
129 | 143 | -t $MLSERVER_IMAGE-slim |
130 | 144 | - name: Scan Docker Image |
131 | 145 | uses: snyk/actions/docker@master |
@@ -249,6 +263,13 @@ jobs: |
249 | 263 | run: | |
250 | 264 | DOCKER_BUILDKIT=1 docker build . \ |
251 | 265 | --build-arg RUNTIMES=mlserver-${{ matrix.runtime }} \ |
| 266 | + --label name="mlserver" \ |
| 267 | + --label vendor="SeldonIO" \ |
| 268 | + --label version="${{ github.event.inputs.version }}" \ |
| 269 | + --label release="${{ github.event.inputs.version }}" \ |
| 270 | + --label summary="An open source inference server for your machine learning models." \ |
| 271 | + --label description="MLServer aims to provide an easy way to start serving your machine learning models through a REST and gRPC interface, fully compliant with KFServing’s V2 Dataplane spec." \ |
| 272 | + --label maintainer="[email protected]" \ |
252 | 273 | -t $MLSERVER_IMAGE-${{ matrix.runtime }} |
253 | 274 | - name: Scan Docker Image |
254 | 275 | uses: snyk/actions/docker@master |
|
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