suite("Gradle Test Executor") {
                        testClass("org.example.ComplexTests") {
                            operationDisplayName "some_name for_tests"
                            testDisplayName "some_name for_tests"

                            test("test()") {
                                operationDisplayName "test"
                                testDisplayName "test"

        String someName = "someName"
        String someVersion = "someVersion"
        String someConfiguration = "someConfiguration"
        DefaultResolvedDependency resolvedDependency = new DefaultResolvedDependency(someConfiguration, newId(someGroup, someName, someVersion), buildOperationProcessor)

        then:
        resolvedDependency.name == someGroup + ":" + someName + ":" + someVersion

// IntPerLayer-DAG: "tf.DumpTensor"(%[[output1_unquantized]]) <{enabled = true, file_name = "unquantized_tensor_data.pb", func_name = "conv", log_dir_path = "/tmp/dumps/composite_conv2d_with_bias_and_relu6_fn_1", node_name = "Conv2D_1"}> : (tensor<*xf32>) -> ()
// IntPerLayer-DAG: return %[[output0]], %[[output1_quantized]]

  while (!nodes_to_visit.empty()) {
    const string node_name = nodes_to_visit.front();
    nodes_to_visit.pop();
    if (reachable_node_names->find(node_name) != reachable_node_names->end()) {
      continue;
    }
    reachable_node_names->insert(node_name);
    NodeDef* node = name_to_node_map.at(node_name);
    if (kVariableTypes->find(node->op()) != kVariableTypes->end()) {

    if log-dump-ssh "${node_name}" "command -v journalctl" &> /dev/null; then
        if [[ "${on_master}" == "true" ]]; then
          log-dump-ssh "${node_name}" "sudo journalctl --output=short-precise -u kube-master-installation.service" > "${dir}/kube-master-installation.log" || true

// WholeModel-DAG: %[[matmul1_q:.*]] = "tf.XlaCallModule"(%[[matmul0_q]], %[[w0]], %[[b0]]) <{Sout = [#tf_type.shape<?x2>], module = "", version = 9 : i64}> {_entry_function = @composite_dot_genera...

    const FlatSymbolRefAttr f_attr = GetFuncAttr(op);

    // In TF::PartitionedCallOp case, func_name and node_name are filled.
    // But in TF::XlaCallModuleOp case, node_name is `kEmptyNodeName` since
    // debugging and selective quantization of StableHLO Quantizer only uses
    // func_name for op matching.
    auto [func_name, node_name] = GetFuncNameAndNodeName(op, f_attr);
    std::string folder_name =

  // Check for a few expected nodes
  const char* node_name = "test_loop/cond/scalar";
  EXPECT_TRUE(TF_GraphOperationByName(graph_, node_name) != nullptr);
  node_name = "test_loop/body/add";
  EXPECT_TRUE(TF_GraphOperationByName(graph_, node_name) != nullptr);
  node_name = "test_loop/body/inner_loop/body/one";
  EXPECT_TRUE(TF_GraphOperationByName(graph_, node_name) != nullptr);
  node_name = "test_loop/body/inner_loop/cond/less_than";

  "tf_saved_model.global_tensor"() { is_mutable, sym_name = "v0", type = tensor<3xf32>, value = dense<42.0> : tensor<9xf32> } : () -> ()
}

// -----

module attributes {tf_saved_model.semantics} {
  "tf_saved_model.global_tensor"() { is_mutable, sym_name = "v", type = tensor<f32>, value = dense<42.0> : tensor<f32> } : () -> ()

// RUN: tf-opt %s -allow-unregistered-dialect --tf-localize-var-handles --split-input-file | FileCheck %s

// CHECK-LABEL: module
module attributes {tf_saved_model.semantics} {
  "tf_saved_model.global_tensor"() { is_mutable, sym_name = "v", type = tensor<10xf32>, value = dense<[0.,1.,2.,3.,4.,5.,6.,7.,8.,9.]> : tensor<10xf32> } : () -> ()
  // CHECK-LABEL: @read_from_global