Scope on_gpu = root.WithAssignedDevice(kGPU).WithDevice(kGPU);
  Scope on_cpu = root.WithAssignedDevice(kCPU).WithDevice(kCPU);

  Output in0 = ops::Placeholder(on_gpu.WithOpName("in0"), DT_FLOAT);
  Output in1 = ops::Placeholder(on_gpu.WithOpName("in1"), DT_FLOAT);

  Output perm = ops::Const(on_cpu.WithOpName("perm"), {3, 1, 2, 0});

  {
    Output tr0 = ops::Transpose(on_gpu.WithOpName("tr0"), in0, perm);

    def "toString() generally produces same output as original exception"() {
        def original = new Exception("original exception")
        def placeholder = new PlaceholderException(original.getClass().name, original.message, null, original.toString(), null, original.cause)

        expect:
        placeholder.toString() == original.toString()
    }

    def "toString() produces same output as original exception if the latter overrides toString()"() {

// Attribute value will be a string, which is the outside compilation cluster
// name for the outside compilation Placeholder node.
extern const char kXlaOutsideCompilationInputsAttrName[];

// Attribute indicating that this is a Placeholder node for an _Arg node used in
// outside compilation. We should not move this node out of XLA computation.

  auto a = ops::Placeholder(scope.WithOpName("A"), DT_INT32);
  auto b = ops::Placeholder(scope.WithOpName("B"), DT_FLOAT);
  auto c = ops::Placeholder(scope.WithOpName("C"), DT_INT32);
  auto d = ops::Placeholder(scope.WithOpName("D"), DT_FLOAT);
  auto u = ops::Placeholder(scope.WithOpName("U"), DT_RESOURCE);
  auto v = ops::Placeholder(scope.WithOpName("V"), DT_RESOURCE);

spec:
  destination:
    name: in-cluster
    namespace: argocd
    server: ''
  sources:
  - path: istio
    repoURL: '{repo-placeholder}'
    targetRevision: HEAD
  - path: application
    repoURL: '{repo-placeholder}'
    targetRevision: HEAD
    directory:
      include: application.yaml
  project: default
  syncPolicy:
    automated:
      prune: true
      selfHeal: true

TEST(ClientSessionTest, CallableWithCustomThreadPool) {
  Scope root = Scope::NewRootScope();
  int num_threads = 3;

  TensorShape data_shape({1, 1});
  auto a = Placeholder(root, DT_INT32, Placeholder::Shape(data_shape));
  auto b = Placeholder(root, DT_INT32, Placeholder::Shape(data_shape));
  auto c = BatchMatMul(root, a, b);
  ClientSession session(root);
  std::vector<Tensor> outputs;

  auto inter_op_threadpool =

        while (matcher.find()) {
            String placeholder = matcher.group(1);
            String replacement = placeholder.startsWith("env.") ? system.getEnv(placeholder.substring(4)) : system.getProperty(placeholder);
            if (replacement == null) {
                throw new CannotLocateLocalMavenRepositoryException(String.format("Cannot resolve placeholder '%s' in value '%s'", placeholder, value));
            }

logger.info('An info log message.')
logger.debug('A debug log message.')
logger.trace('A trace log message.') // Gradle never logs TRACE level logs
// end::use-logger[]

// tag::use-logger-placeholder[]
logger.info('A {} log message', 'info')
// end::use-logger-placeholder[]

// tag::use-println[]
println 'A message which is logged at QUIET level'
// end::use-println[]

// tag::capture-stdout[]
logging.captureStandardOutput LogLevel.INFO

logger.info("An info log message.")
logger.debug("A debug log message.")
logger.trace("A trace log message.") // Gradle never logs TRACE level logs
// end::use-logger[]

// tag::use-logger-placeholder[]
logger.info("A {} log message", "info")
// end::use-logger-placeholder[]

// tag::use-println[]
println("A message which is logged at QUIET level")
// end::use-println[]

// tag::capture-stdout[]
logging.captureStandardOutput(LogLevel.INFO)

      default: 1

  - type: input
    id: author-other-languages-experience
    attributes:
      label: "Other Languages Experience"
      description: "What other languages do you have experience with?"
      placeholder: "Go, Python, JS, Rust"
    validations:
      required: false

  - type: checkboxes
    id: related-idea
    attributes:
      label: "Related Idea"
      options: