feat: add action workflow for torch2.2

.github/workflows/publish_serve_220.yaml

@@ -0,0 +1,58 @@
+name: Build and publish torchserve
+
+on:
+  workflow_dispatch:
+    inputs:
+      version:
+        description: 'Version of the image to build and publish'
+        required: true
+        default: 'v1.0.0'
+      tags:
+        description: 'Test scenario tags' 
+
+env:
+  REGISTRY: ghcr.io
+  NAME: serve
+  VERSION: ${{ github.event.inputs.version }} #v1.0.0
+
+jobs:
+  build-and-push-image:
+    runs-on: ubuntu-latest
+    permissions: # Sets the permissions granted to the `GITHUB_TOKEN` for the actions in this job.
+      contents: read
+      packages: write
+    steps:
+      - name: Checkout repository
+        uses: actions/checkout@v4
+      # Uses the `docker/login-action` action to log in to the Container registry registry using the account and password that will publish the packages. Once published, the packages are scoped to the account defined here.
+      - name: Log in to the Container registry
+        uses: docker/login-action@v2
+        with:
+          registry: ${{ env.REGISTRY }}
+          username: ${{ github.actor }}
+          password: ${{ secrets.GITHUB_TOKEN }}
+      # This step uses [docker/metadata-action](https://github.com/docker/metadata-action#about) to extract tags and labels that will be applied to the specified image. The `id` "meta" allows the output of this step to be referenced in a subsequent step. The `images` value provides the base name for the tags and labels.
+      - name: Extract metadata (tags, labels) for Docker
+        id: meta
+        uses: docker/metadata-action@v4
+        with:
+          images: ${{ env.REGISTRY }}/moverseai/moai/${{ env.NAME }}
+          tags: | # https://github.com/docker/metadata-action#tags-input
+            type=raw,enable=true,priority=200,prefix=,suffix=,value=${{ env.VERSION }}-pt112-cu113
+      # This step uses the `docker/build-push-action` action to build the image, based on your repository's `Dockerfile`. If the build succeeds, it pushes the image to GitHub Packages.
+      # It uses the `context` parameter to define the build's context as the set of files located in the specified path. For more information, see "[Usage](https://github.com/docker/build-push-action#usage)" in the README of the `docker/build-push-action` repository.
+      # It uses the `tags` and `labels` parameters to tag and label the image with the output from the "meta" step.
+      - name: Build and push Docker image
+        uses: docker/build-push-action@v4
+        with:
+          context: .
+          file: docker/serve/pt220-cu118/Dockerfile
+          push: true
+          tags: ${{ steps.meta.outputs.tags }}
+          # labels: ${{ steps.meta.outputs.labels }}
+          labels: | #  strip down labels: https://stackoverflow.com/questions/76472989/how-to-access-a-subset-of-keys-among-the-labels-in-the-json-object-returned-by-d
+            org.opencontainers.image.created=${{ fromJSON(steps.meta.outputs.json).labels['org.opencontainers.image.created'] }}
+            org.opencontainers.image.revision=${{ fromJSON(steps.meta.outputs.json).labels['org.opencontainers.image.revision'] }}
+            org.opencontainers.image.version=${{ fromJSON(steps.meta.outputs.json).labels['org.opencontainers.image.version'] }}
+            com.github.moverseai.moai.sha=${{ github.sha }}
+            com.github.moverseai.moai.branch=${{ github.ref_name }}

docker/serve/azure/pt220-cu118/Dockerfile

@@ -0,0 +1,29 @@
+FROM ghcr.io/moverseai/moai/serve:v1.0.0-pt220-cu118
+
+USER root
+
+RUN apt-get update && apt-get install -y -qq \
+    curl \
+    apt-transport-https \
+    lsb-release \
+    gnupg \
+    && rm -rf /var/lib/apt/lists/*
+
+RUN curl -sL https://packages.microsoft.com/keys/microsoft.asc | \
+    gpg --dearmor -o /etc/apt/trusted.gpg.d/microsoft.gpg \
+    && echo "deb [arch=amd64] https://packages.microsoft.com/repos/azure-cli/ $(lsb_release -cs) main" | \
+    tee /etc/apt/sources.list.d/azure-cli.list
+
+RUN apt-get update && apt-get install -y -qq azure-cli
+
+# install azure python sdk
+RUN pip install azure-core \
+    azure-storage-blob
+
+# cache cleanup
+RUN chown -R worker /workspace \
+    && chmod 755 /workspace \
+    && pip cache purge && apt-get clean
+
+USER worker
+WORKDIR /workspace

docker/serve/pt220-cu118/Dockerfile

@@ -0,0 +1,49 @@
+FROM  pytorch/pytorch:2.2.0-cuda11.8-cudnn8-runtime
+
+COPY . /moai
+
+RUN apt-get update \
+    && apt-get install -y -qq \
+    zip \
+    libgl1 \
+    openjdk-11-jre-headless \
+    && rm -rf /var/lib/apt/lists/*
+
+RUN python -m pip uninstall -y torchtext
+RUN pip install \
+    -e /moai \
+    torchserve==0.10.0 \
+    # onnx==1.8.1 \
+    torch-model-archiver==0.10.0
+    # onnxruntime==1.6.0
+
+COPY ./docker/serve/config.properties /workspace/config.properties
+
+EXPOSE 7070/tcp 7071/tcp 8080/tcp 8081/tcp 8082/tcp
+
+COPY docker/serve/serve.sh /workspace/serve.sh
+RUN chmod +x /workspace/serve.sh
+
+RUN useradd -m worker \
+    && mkdir -p /workspace/models \
+    && mkdir -p /workspace/logs \
+    && mkdir -p /workspace/data \
+    && mkdir -p /workspace/run \
+    && chown -R worker /workspace \
+    && chmod 755 /workspace \
+    && chown -R worker /workspace/data \
+    && chmod 755 /workspace/data \
+    && chown -R worker /workspace/logs \
+    && chmod 755 /workspace/logs \
+    && chown -R worker /workspace/run \
+    && chmod 755 /workspace/run  
+
+ENV LOG_LOCATION=/workspace/logs
+ENV METRICS_LOCATION=/workspace/logs
+
+RUN pip cache purge && apt-get clean
+
+USER worker
+WORKDIR /workspace
+
+ENTRYPOINT ["/bin/bash", "/workspace/serve.sh"]