printf("Benchmark ran %zu iterations over %lld us\n", count_us,
         static_cast<long long>(stats.total_us));  // NOLINT
  for (const auto& g : groups) {
    printf("  %-*s %*.3f us\n", max_label_size, g.first.c_str(), max_digits + 4,
           g.second);
  }
}

void Benchmark(const Options& options, const BenchmarkFn& fn, Stats* stats) {
  // If neither max_seconds or max_iters is set, stop at kDefaultMicros.

  const llvm::Target* target =
      llvm::TargetRegistry::lookupTarget(normalized_triple, error);
  if (target == nullptr) {
    return xla::Internal("TargetRegistry::lookupTarget failed: %s",
                         error.c_str());
  }

  return absl::WrapUnique(target->createTargetMachine(
      normalized_triple, /*CPU=*/"",
      /*Features=*/"", llvm::TargetOptions(), std::nullopt));
}

  return FlatBufferModel::BuildFromFile(model_path.c_str());
}

std::unique_ptr<FlatBufferModel> ReadSharedWeightsTestModel() {
  auto model_path = tensorflow::io::JoinPath(*g_test_model_dir,
                                             internal::kModelWithSharedWeights);
  return FlatBufferModel::BuildFromFile(model_path.c_str());
}

std::unique_ptr<FlatBufferModel> ReadGatherTestModel() {

	// ABIs.
	ABIInternal

	ABICount
)

// ParseABI converts from a string representation in 'abistr' to the
// corresponding ABI value. Second return value is TRUE if the
// abi string is recognized, FALSE otherwise.
func ParseABI(abistr string) (ABI, bool) {
	switch abistr {
	default:
		return ABI0, false
	case "ABI0":
		return ABI0, true
	case "ABIInternal":
		return ABIInternal, true

  const char* test_case_name() const { return test_case_name_.c_str(); }

  // Returns the test name.
  const char* name() const { return name_.c_str(); }

  // Returns the name of the parameter type, or NULL if this is not a typed
  // or a type-parameterized test.
  const char* type_param() const {
    if (type_param_.get() != NULL)
      return type_param_->c_str();
    return NULL;
  }

          test_name_stream << test_info->test_base_name << "/" << i;
          MakeAndRegisterTestInfo(
              test_case_name.c_str(),
              test_name_stream.GetString().c_str(),
              NULL,  // No type parameter.
              PrintToString(*param_it).c_str(),
              GetTestCaseTypeId(),
              TestCase::SetUpTestCase,
              TestCase::TearDownTestCase,

      type = type.replace(0, 5, "");
      type = type.replace(type.size() - 1, 1, "");
    }
    op_name += type;
    return TF_NewOperation(
        graph_, op_name.c_str(),
        ::tensorflow::strings::StrCat("name", counter_++).c_str());
  }

  TF_Status* s_;

 private:
  TF_Graph* graph_;
  int counter_;
};

// Helper macros for the TF_OperationGetAttr* tests.

          test_name_stream << test_info->test_base_name << "/" << i;
          MakeAndRegisterTestInfo(
              test_case_name.c_str(),
              test_name_stream.GetString().c_str(),
              NULL,  // No type parameter.
              PrintToString(*param_it).c_str(),
              GetTestCaseTypeId(),
              TestCase::SetUpTestCase,
              TestCase::TearDownTestCase,

}  // namespace mlir

int main(int argc, char** argv) {
  llvm::InitLLVM y(argc, argv);
  llvm::cl::ParseCommandLineOptions(argc, argv);
  auto file_or_err = llvm::MemoryBuffer::getFileOrSTDIN(inputFileName.c_str());
  if (std::error_code error = file_or_err.getError()) {
    llvm::errs() << argv[0] << ": could not open input file '" << inputFileName
                 << "': " << error.message() << "\n";
    return 1;
  }

	} else if tok == scanner.Ident {
		abistr := p.get(scanner.Ident).String()
		if !p.allowABI {
			if issueError {
				p.errorf("ABI selector only permitted when compiling runtime, reference was to %q", name)
			}
		} else {
			theabi, valid := obj.ParseABI(abistr)
			if !valid {
				if issueError {
					p.errorf("malformed ABI selector %q in reference to %q",
						abistr, name)
				}
			} else {