defaults:
      run:
        shell: bash
    container: ${{ (contains(inputs.runner, 'linux-x86') && 'us-docker.pkg.dev/ml-oss-artifacts-published/ml-public-container/ml-build:latest') ||
                   (contains(inputs.runner, 'linux-arm64') && 'us-docker.pkg.dev/ml-oss-artifacts-published/ml-public-container/ml-build-arm64:latest') ||
                   (contains(inputs.runner, 'windows-x86') && null) }}
    timeout-minutes: 300
    steps:

TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX=linux_cpu
TFCI_BUILD_PIP_PACKAGE_WHEEL_NAME_ARG="--repo_env=WHEEL_NAME=tensorflow_cpu"
TFCI_DOCKER_ENABLE=1
TFCI_DOCKER_IMAGE=us-docker.pkg.dev/ml-oss-artifacts-published/ml-public-container/ml-build:latest
TFCI_DOCKER_PULL_ENABLE=1
TFCI_DOCKER_REBUILD_ARGS="--target=devel ci/official/containers/ml_build"
TFCI_INDEX_HTML_ENABLE=1
TFCI_LIB_SUFFIX="-cpu-linux-x86_64"

    fun computedRuntimes(action: ModuleTargetRuntimes.() -> Unit) {
        action(computedRuntimes)
    }

    /**
     * Declares whether this module is published to an external repository.
     */
    abstract val published: Property<Boolean>

}

interface ModuleIdentity {

    val version: Property<GradleVersion>

    val baseName: Property<String>

    val buildTimestamp: Property<String>

# 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_DOCKER_ENABLE=1
if [[ "$TFCI_GITHUB_ACTIONS" == "true" ]]; then
  TFCI_DOCKER_ENABLE=0
fi
TFCI_DOCKER_PULL_ENABLE=1
TFCI_DOCKER_IMAGE="us-docker.pkg.dev/ml-oss-artifacts-published/ml-public-container/ml-build-windows@sha256:023fa901fda70be8890b05689d0a667287692c1f59d0abe4add7208ec5a12707"
TFCI_BAZEL_BAZELRC_ARGS="--output_user_root=C:/x"

### Application Discovery { #application-discovery }

You **should not** install this package.

Install instead:

```bash
pip install fastapi
```

This package is deprecated and will stop receiving any updates and published versions.

## License

TFCI_DOCKER_ENABLE=1
if [[ "$TFCI_GITHUB_ACTIONS" == "true" ]]; then
  TFCI_DOCKER_ENABLE=0
fi
TFCI_DOCKER_PULL_ENABLE=1
TFCI_DOCKER_IMAGE="us-docker.pkg.dev/ml-oss-artifacts-published/ml-public-container/ml-build-windows@sha256:023fa901fda70be8890b05689d0a667287692c1f59d0abe4add7208ec5a12707"
TFCI_BAZEL_BAZELRC_ARGS="--output_user_root=C:/x"

import gradlebuild.identity.tasks.BuildReceipt
import java.util.Optional

plugins {
    `java-base`
}

val gradleModule = extensions.create<GradleModuleExtension>(GradleModuleExtension.NAME).apply {
    published = false

    requiredRuntimes {
        client = false
        daemon = false
        worker = false
    }

    computedRuntimes {
        client = false
        daemon = false
        worker = false

/**
 * Thread that finalizes referents. All references should implement {@code
 * com.google.common.base.FinalizableReference}.
 *
 * <p>While this class is public, we consider it to be *internal* and not part of our published API.
 * It is public so we can access it reflectively across class loaders in secure environments.
 *
 * <p>This class can't depend on other Guava code. If we were to load this class in the same class