*
     * @param referrerProject The project that is going to use the Gradle instance
     * @param gradle The Gradle instance that the project has direct access to.
     * @return A Gradle instance that implements correct cross-project model access.
     */
    GradleInternal gradleInstanceForProject(ProjectInternal referrerProject, GradleInternal gradle);

    /**

  let summary = "Convert fallback tensor to corert tensorhandle";

  let description = [{
    Convert the fallback tensor to corert tensorhandle.

    args: a list of fallback tensors.
    device: the name of the tensorflow device that is associated with the
      input fallback tensors.

    results: the converted corert tensorhandles.
  }];

  let arguments = (ins

        }
    }

    @ToBeFixedForConfigurationCache(because = "build listener")
    def 'projectsLoaded listeners are attributed to the correct registrant'() {
        given:
        def addGradleListeners = { String source ->
            """
                gradle.projectsLoaded({
                    println "gradle.projectsLoaded(Action) from $source"

        val generatedTopLevelClassifiers = declarationGenerators
            .asSequence()
            .flatMap {
                // FIXME this function should be called only once during plugin's lifetime, so this usage is not really correct (2)
                it.getTopLevelClassIds()
            }
            .filter { it.packageFqName == packageFqName }
            .map { it.shortClassName }

        return generatedTopLevelClassifiers.toSet()
    }

        "//tensorflow/compiler/mlir/tensorflow:attribute_utils",
        "//tensorflow/compiler/tf2xla:xla_op_registry",
        "//tensorflow/core:framework",
        "//tensorflow/core:lib",
        "//tensorflow/core:test",
        "//tensorflow/core/lib/monitoring:cell_reader",
        "//tensorflow/core/platform:resource_loader",
        "//tensorflow/core/tpu:tpu_defs",
        "@com_google_absl//absl/status",

    srcs = ["mlir_pass_instrumentation_test.cc"],
    deps = [
        ":mlir_pass_instrumentation",
        "//tensorflow/compiler/mlir/tf2xla/api/v1:compile_mlir_util_no_tf_dialect_passes",
        "//tensorflow/core:test",
        "@com_google_googletest//:gtest_main",
    ],
)

cc_library(
    name = "legalize_tf_mlir",
    srcs = ["legalize_tf_mlir.cc"],
    hdrs = ["legalize_tf_mlir.h"],
    deps = [

          sudo chown -R istio-proxy /var/run/secrets

          # Change coredump directory to the correct user. Note this is a volume so we persist between crashes
          sudo chown -R istio-proxy:istio-proxy /var/lib/istio/data

          # place mounted bootstrap files (token is mounted directly to the correct location)
          sudo cp /var/run/secrets/istio/bootstrap/root-cert.pem /var/run/secrets/istio/root-cert.pem

# Regression test for Issue #62663: we would filter out the toolchain and
# main modules from the build list incorrectly, leading to the workspace
# modules being checked for correct sums. Specifically this would happen when
# the module name sorted after the virtual 'go' version module name because
# it could not get chopped off when we removed the MainModules.Len() modules
# at the beginning of the build list and we would remove the go module instead.

go mod verify

        branch = VersionedSettingsBranch("master"),
        buildScanTags = listOf("Check"),
        subprojects = JsonBasedGradleSubprojectProvider(File("../.teamcity/subprojects.json"))
    )

    @Test
    fun `create correct PerformanceTest build type for Linux`() {
        val performanceTest = PerformanceTest(
            buildModel,
            Stage(
                StageName.PULL_REQUEST_FEEDBACK,

tf_cc_test(
    name = "stream_executor_test",
    srcs = ["stream_executor_test.cc"],
    deps = [
        ":stream_executor",
        ":stream_executor_internal",
        ":stream_executor_test_util",
        "//tensorflow/core:test",
        "//tensorflow/core:test_main",
        "//tensorflow/core/protobuf:error_codes_proto_impl_cc",
        "@local_tsl//tsl/platform:statusor",
        "@local_xla//xla/stream_executor",