# environment:
    # MINIO_ROOT_USER: minioadmin
    # MINIO_ROOT_PASSWORD: minioadmin
  healthcheck:
    test: ["CMD", "mc", "ready", "local"]
    interval: 5s
    timeout: 5s
    retries: 5

# starts 4 docker containers running minio server instances.
# using nginx reverse proxy, load balancing, you can access
# it through port 9000.
services:
  minio1:
    <<: *minio-common
    hostname: minio1
    volumes:

      -
        name: Set up Docker Buildx
        uses: docker/setup-buildx-action@8c0edbc76e98fa90f69d9a2c020dcb50019dc325 # v2.2.1
      -
        name: Login to DockerHub
        uses: docker/login-action@f4ef78c080cd8ba55a85445d5b36e214a81df20a # v2.1.0
        with:
          username: ${{ secrets.DOCKERHUB_USERNAME }}
          password: ${{ secrets.DOCKERHUB_TOKEN }}
      -

x-minio-common: &minio-common
  image: quay.io/minio/minio:${RELEASE}
  command: server http://site1-minio{1...4}/data{1...2}
  environment:
    - MINIO_PROMETHEUS_AUTH_TYPE=public
    - CI=true

# starts 4 docker containers running minio server instances.
# using nginx reverse proxy, load balancing, you can access
# it through port 9000.
services:
  site1-minio1:
    <<: *minio-common
    hostname: site1-minio1
    volumes:

x-minio-common: &minio-common
  image: quay.io/minio/minio:${RELEASE}
  command: server http://site2-minio{1...4}/data{1...2}
  environment:
    - MINIO_PROMETHEUS_AUTH_TYPE=public
    - CI=true

# starts 4 docker containers running minio server instances.
# using nginx reverse proxy, load balancing, you can access
# it through port 9000.
services:
  site2-minio1:
    <<: *minio-common
    hostname: site2-minio1
    volumes:

Jinzhu <******@****.***> 1710750526 +0800

Harshavardhana <******@****.***> 1694618076 -0700

name: TensorFlow Lite Other Issue description: Use this template to report any
issue in TensorFlow Lite that is not about Converters, Play Services or Ops
body: - type: dropdown id: issue-type attributes: label: Issue Type description:
What type of issue would you like to report? multiple: false options: - Bug -
Build/Install - Performance - Support - Feature Request - Documentation Feature
Request - Documentation Bug - Others validations: required: true - type:

Ben Leggett <******@****.***> 1706301268 -0500

fyuan1316 <******@****.***> 1710408745 +0800

    title: Deploy Machine Learning Models with Keras, FastAPI, Redis and Docker
  - author: Mandy Gu
    author_link: https://towardsdatascience.com/@mandygu
    link: https://towardsdatascience.com/deploying-iris-classifications-with-fastapi-and-docker-7c9b83fdec3a
    title: 'Towards Data Science: Deploying Iris Classifications with FastAPI and Docker'
  - author: Michael Herman