is_xla_compile_attr_true_(is_xla_compile_attr_true),
          xla_scope_(std::move(xla_scope)) {
      if (resource_var_operation_node_id.has_value()) {
        resource_var_operation_node_ids_.push_back(
            *resource_var_operation_node_id);
      }
    }

    // Merges `other` into this cluster, and clears `other`.  This method is

// each with STL strings with values "a" and "b":
//
// ::std::vector< ::std::string> GetParameterStrings() {
//   ::std::vector< ::std::string> v;
//   v.push_back("a");
//   v.push_back("b");
//   return v;
// }
//
// INSTANTIATE_TEST_CASE_P(CharSequence,
//                         StlStringTest,
//                         ValuesIn(GetParameterStrings()));
//
//

const char* kNegStackToString = "File \"neg.cc\", line 15, in beta";

std::vector<IOSpec> M(const std::initializer_list<string>& names) {
  std::vector<IOSpec> v;
  for (const string& name : names) {
    v.push_back(IOSpec(name, DT_INVALID));
  }
  return v;
}

// Specification for an expected edge.
// src is either:
// - input name (as it appears in FunctionDef)
// - name of output tensor (in nested "add:z:0" format)

// each with STL strings with values "a" and "b":
//
// ::std::vector< ::std::string> GetParameterStrings() {
//   ::std::vector< ::std::string> v;
//   v.push_back("a");
//   v.push_back("b");
//   return v;
// }
//
// INSTANTIATE_TEST_CASE_P(CharSequence,
//                         StlStringTest,
//                         ValuesIn(GetParameterStrings()));
//
//

  scope.UpdateStatus(builder.Finalize(scope.graph(), &ret));
  if (!scope.ok()) return;
  scope.UpdateStatus(scope.DoShapeInference(ret));
  for (int32_t i = 0; i < ret->num_outputs(); ++i) {
    outputs->push_back(Output(ret, i));
  }
}

TEST(DeadnessAnalysisTest, Constant1_SwitchN_2Branches_DoesNotFail) {
  Scope root = Scope::NewRootScope().ExitOnError();

             .getValues<float>()) {
      // (s1 * s2) * (1 / s1) = s2
      // UniformQuantizedPerAxisType requires scales to have double dtype.
      filter_scale_values.push_back(
          static_cast<double>(merged_scale * input_inverse_scale_value));
    }

    SmallVector<int64_t> filter_zero_point_values(
        /*Size=*/filter_scale_values.size(), /*Value=*/0);

// `testing::InitGoogleTest` gets called, here we just store them to an
// internal scheme registry. See `URISchemeRegister` above.
static bool GetURIScheme(const std::string& scheme) {
  tensorflow::SchemeVector()->push_back(scheme);
  return true;
}

// This function is used for cloud filesystem
// `S3` and `GCS` require the `root_dir_` to have bucket name
// `HDFS` requires the `root_dir` to have namenode

        SmallVectorImpl<func::FuncOp> &functions) {
      functions.reserve(num_branches());
      for (int idx : llvm::seq<int>(0, num_branches()))
        functions.push_back(ResolveBranchFunction(table, idx));
    }
    // TODO(b/204997177): Deprecate and remove.
    void get_branch_functions(SmallVectorImpl<func::FuncOp> &functions) {
      return ResolveBranchFunctions(nullptr, functions);