"tensorflow/compiler/mlir/tf2xla/internal/testdata/");
}

class LoggingHooksTest : public ::testing::Test {
 public:
  LoggingHooksTest() {
    mlir::RegisterCommonToolingDialects(registry_);
    context_.appendDialectRegistry(registry_);
    context_.loadAllAvailableDialects();
    env_ = Env::Default();

    test_group_name_ = "TestGroup";
    test_dir_ = testing::TmpDir();

  return grad_op_registry;
}

bool GradOpRegistry::Register(const string& op, GradFunc func) {
  CHECK(registry_.insert({op, func}).second) << "Existing gradient for " << op;
  return true;
}

Status GradOpRegistry::Lookup(const string& op, GradFunc* func) const {
  auto iter = registry_.find(op);
  if (iter == registry_.end()) {
    const string error_msg =
        "No gradient defined for op: " + op +
        ". Please see "

}

class SessionClusterTensorflowDialectTest : public ::testing::Test {
 public:
  SessionClusterTensorflowDialectTest() {
    mlir::RegisterCommonToolingDialects(registry_);
    context_.appendDialectRegistry(registry_);
    context_.loadAllAvailableDialects();
  }

  absl::Status CreateMlirModule(std::string mlir_module_filename) {
    std::string mlir_module_path = TestDataPath() + mlir_module_filename;

}

class TensorflowDialectToExecutorTest : public ::testing::Test {
 public:
  TensorflowDialectToExecutorTest() {
    mlir::RegisterCommonToolingDialects(registry_);
    context_.appendDialectRegistry(registry_);
    context_.loadAllAvailableDialects();
  }

  absl::Status CreateMlirModule(std::string mlir_module_filename) {
    std::string mlir_module_path = TestDataPath() + mlir_module_filename;

  }
  return count;
}

class TensorflowDialectToExecutorTest : public ::testing::Test {
 public:
  TensorflowDialectToExecutorTest() {
    mlir::RegisterCommonToolingDialects(registry_);
    context_.appendDialectRegistry(registry_);
    context_.loadAllAvailableDialects();
  }

  absl::Status CreateMlirModule(std::string mlir_module_filename) {
    std::string mlir_module_path = TestDataPath() + mlir_module_filename;

class FunctionClusterTensorflowDialectTest : public ::testing::Test {
 public:
  FunctionClusterTensorflowDialectTest() {
    mlir::RegisterCommonToolingDialects(registry_);
    context_.appendDialectRegistry(registry_);
    context_.loadAllAvailableDialects();
  }

  absl::Status CreateMlirModule(std::string mlir_module_filename) {
    std::string mlir_module_path = TestDataPath() + mlir_module_filename;

                         << ", FallbackEnabled: " << num_passes_fallback_enabled
                         << ", Total: " << registry_->passes().size();
  }

  GraphDebugInfo debug_info;
  mlir::DialectRegistry registry;
  RegisterDialects(registry);
  mlir::MLIRContext context(registry);
  GraphImportConfig import_config;
  import_config.graph_as_function = true;
  import_config.control_outputs = *control_ret_node_names;

class LowerClusterToRuntimeOpsTest : public ::testing::Test {
 public:
  LowerClusterToRuntimeOpsTest() {
    mlir::RegisterCommonToolingDialects(registry_);
    context_.appendDialectRegistry(registry_);
    context_.loadAllAvailableDialects();

    env_ = Env::Default();
    test_group_name_ = "TestGroup";
    test_dir_ = testing::TmpDir();

};

SymbolicGradientBuilder::SymbolicGradientBuilder(
    const Scope& scope, const ops::GradOpRegistry* registry,
    const std::vector<Output>& outputs, const std::vector<Output>& inputs,
    const std::vector<Output>& grad_inputs, std::vector<Output>* grad_outputs)
    : scope_(scope),
      registry_(registry),
      outputs_(outputs),
      inputs_(inputs),
      grad_inputs_(grad_inputs),

                  mlir::tf_executor::TensorFlowExecutorDialect,
                  mlir::vhlo::VhloDialect>();
  mlir::mhlo::registerAllMhloDialects(registry);
  mlir::func::registerAllExtensions(registry);
  return failed(
      mlir::MlirOptMain(argc, argv, "StableHLO quant Pass Driver\n", registry));