#     dbg:              Build with debug info
#
# TF version options;
#     v2: Build TF v2
#
# Feature and Third party library support options:
#     xla:          Build TF with XLA
#     tpu:          Build TF with TPU support
#     cuda:         Build with CUDA support.
#     cuda_clang    Build with CUDA Clang support.
#     rocm:         Build with AMD GPU support (rocm)

          "antlr",
          "base-diagnostics",
          "base-services",
          "build-cache",
          "build-cache-http",
          "build-cache-local",
          "build-cache-spi",
          "build-configuration",
          "build-init",
          "build-profile",
          "composite-builds",
          "configuration-cache",
          "core",
          "core-api",

*   [Build](https://www.tensorflow.org/install/source) the TensorFlow pip
    package from source.

## Continuous build status

You can find more community-supported platforms and configurations in the
[TensorFlow SIG Build Community Builds Table](https://github.com/tensorflow/build#community-supported-tensorflow-builds).

### Official Builds

        name = "Smoke Test"
        description = "Smoke tests against third-party plugins, Gradle build, and IDE sync"
    }) {
    init {
        smokeBuildTypes.forEach(this::buildType)
    }

    companion object {
        /**
         * Specific builds shown under the "Smoke Test" subproject in Pull Request Feedback.
         */
        val pullRequestFeedbackSmokeBuilds: Set<SpecificBuild> =

remote build cache nodes to speed up local builds when developing Gradle. By default, the build is [configured](https://github.com/gradle/gradle-org-conventions-plugin#what-it-does) to use the build cache node in the EU region.

The build cache has anonymous read access, so you don't need to authenticate in order to use it. You can use a different build cache node by specifying `-Ddevelocity.edge.discovery=false -DcacheNode=us` for a build cache node in the US or `-Ddevelocity.edge.discovery=false...

                }
            }
        }
        if (processorTypes != null) {
            context.put(CONTEXT_KEY, processorTypes);
        }
        return root;
    }

    /**
     * Builds a unique key for an artifact based on the same identity components
     * used by conflict resolution: groupId, artifactId, extension, and classifier.
     */
    static String conflictKey(DependencyNode node) {

        "https://github.com/bazelbuild/rules_shell/releases/download/v0.4.1/rules_shell-v0.4.1.tar.gz",
    ),
)

# Initialize toolchains for ML projects.
#
# A hermetic build system is designed to produce completely reproducible builds for C++.
# Details: https://github.com/google-ml-infra/rules_ml_toolchain
tf_http_archive(
    name = "rules_ml_toolchain",

                    ),
                )
            }
            if (specificBuildTypes.size > 1) {
                buildType(
                    PartialTrigger(
                        "All Specific Builds for ${stage.stageName.stageName}",
                        "Stage_${stage.stageName.id}_SpecificBuilds",
                        model,
                        specificBuildTypes,
                    ),
                )

                  <project path="$PROJECT_DIR$/build-logic/root-build" />
                  <project path="$PROJECT_DIR$/build-logic/uber-plugins" />
                </projects>
              </build>
              <build path="$PROJECT_DIR$/build-logic-commons" name="build-logic-commons">
                <projects>
                  <project path="$PROJECT_DIR$/build-logic-commons" />

    else -> actualBranch
}

/**
 * The build environment.
 *
 * WARNING: Every val in here must not change for they same daemon. If it does, changes will go undetected,
 *          since this whole object is kept in the classloader between builds.
 *          Anything that changes must be in a val with a get() method that recomputes the value each time.
 */