### GNU/Linux and macOS

```sh
docker-compose pull
docker-compose up
```

or

```sh
docker stack deploy --compose-file docker-compose.yaml minio
```

        <artifactId>rmv</artifactId>
        <version>RELEASE</version>
      </plugin>
      <plugin>
        <groupId>test</groupId>
        <artifactId>lmv</artifactId>
        <version>LATEST</version>
      </plugin>
      <plugin>
        <groupId>test</groupId>
        <artifactId>ifsc</artifactId>
        <version>1/1</version>
      </plugin>
    </plugins>
  </build>

description: Report a problem with our documentation
labels: [ "a:documentation", "to-triage" ]
assignees: [ ]
body:
  - type: markdown
    attributes:
      value: |
        Please search related information in our [latest documentation](https://docs.gradle.org/current/userguide/userguide.html) before opening a documentation issue.

# despite lacking Nvidia CUDA support.
TFCI_BUILD_PIP_PACKAGE_WHEEL_NAME_ARG="--repo_env=WHEEL_NAME=tensorflow"
TFCI_DOCKER_ENABLE=1
TFCI_DOCKER_IMAGE=us-docker.pkg.dev/ml-oss-artifacts-published/ml-public-container/ml-build-arm64:latest
TFCI_DOCKER_PULL_ENABLE=1
TFCI_DOCKER_REBUILD_ARGS="--target=tf ci/official/containers/ml_build_arm64"
TFCI_INDEX_HTML_ENABLE=1
TFCI_LIB_SUFFIX="-cpu-linux-arm64"
TFCI_OUTPUT_DIR=build_output
TFCI_WHL_AUDIT_ENABLE=1

typing_extensions ~= 4.14.1
gast == 0.4.0
termcolor == 2.3.0
wrapt == 1.16.0
tblib == 2.0.0
ml_dtypes >= 0.5.1, < 0.6.0
auditwheel >= 6.1.0
# Install tensorboard, and keras
# Note that here we want the latest version that matches TF major.minor version
# Note that we must use nightly here as these are used in nightly jobs
# For release jobs, we will pin these on the release branch
keras-nightly ~= 3.10.0.dev
tb-nightly ~= 2.20.0.a

on:
  schedule:
    - cron: '0 * * * *' # every hour
  workflow_dispatch:

permissions: {}

jobs:
  feedback:
    permissions:
      issues: write
      pull-requests: write
    runs-on: ubuntu-latest
    steps:
      # Feedback loop: ask for something on PR/Issue and close if not provided or return to the queue on update.
      # https://github.com/gradle/issue-management-action/blob/main/src/feedback.ts

TFCI_ARTIFACT_FINAL_PYPI_ARGS="--config-file=$KOKORO_KEYSTORE_DIR/73361_tensorflow_pypirc_using_global_api_token --repository pypi-warehouse"
TFCI_ARTIFACT_FINAL_PYPI_ENABLE=1
TFCI_ARTIFACT_LATEST_GCS_URI="gs://tensorflow/nightly/latest/"
TFCI_ARTIFACT_STAGING_GCS_ENABLE=1
TFCI_ARTIFACT_STAGING_GCS_URI="gs://tensorflow-ci-staging/staging/nightly/$(git rev-parse HEAD)/"

# 2. The internal version numbers get changed
TFCI_NIGHTLY_UPDATE_VERSION_ENABLE=1

if [[ -z $GITHUB_ACTION && -d tests ]]; then
  cd tests
  if [[ $(uname -a) == *" arm64" ]]; then
    MSSQL_IMAGE=mcr.microsoft.com/azure-sql-edge docker compose up -d --wait
    go install github.com/microsoft/go-sqlcmd/cmd/sqlcmd@latest || true
    for query in \
      "IF DB_ID('gorm') IS NULL CREATE DATABASE gorm" \
      "IF SUSER_ID (N'gorm') IS NULL CREATE LOGIN gorm WITH PASSWORD = 'LoremIpsum86';" \

Follow below steps to enable and use AlertManager.

## Deploy and start AlertManager

            <groupId>org.jetbrains.teamcity</groupId>
            <artifactId>configs-dsl-kotlin-latest</artifactId>
            <version>${teamcity.dsl.version}</version>
            <scope>compile</scope>
        </dependency>
        <dependency>
            <groupId>org.jetbrains.teamcity</groupId>
            <artifactId>configs-dsl-kotlin-plugins-latest</artifactId>
            <version>1.0-SNAPSHOT</version>
            <type>pom</type>