if (auto session_initializer =
            tf_saved_model::GetSessionInitializerOp(module)) {
      // clang-format off
      // Skip session initializer functions which are present in saved models.
      // For example:
      //   "tf_saved_model.session_initializer"() {initializers = [@init_all_tables]} : () -> () // NOLINT

  func.func @main(%arg0: tensor<10x1x1024xf32> {tf_saved_model.index_path = ["input_tensor"]}) -> (tensor<10x1x3xf32> {tf_saved_model.index_path = ["output"]}) attributes {tf.entry_function = {control_outputs = "", inputs = "serving_default_input_tensor:0", outputs = "PartitionedCall:0"}, tf_saved_model.exported_names = ["serving_default"]} {

#include "mlir/IR/UseDefLists.h"  // from @llvm-project
#include "mlir/Support/LLVM.h"  // from @llvm-project
#include "tensorflow/compiler/mlir/tensorflow/ir/tf_ops.h"
#include "tensorflow/compiler/mlir/tensorflow/ir/tf_saved_model.h"
#include "tensorflow/compiler/mlir/tensorflow/utils/convert_tensor.h"
#include "tensorflow/core/common_runtime/device.h"
#include "tensorflow/core/common_runtime/device_mgr.h"

#include "mlir/Support/LLVM.h"  // from @llvm-project
#include "tensorflow/compiler/mlir/tensorflow/ir/tf_ops.h"
#include "tensorflow/compiler/mlir/tensorflow/ir/tf_saved_model.h"

namespace mlir {
namespace tf_saved_model {
namespace {

using mlir::TF::VarHandleOp;

#define GEN_PASS_DEF_REMOVEVARIABLESINSESSIONINITIALIZERPASS

#include "tensorflow/compiler/mlir/tensorflow/ir/tf_saved_model.h"
#include "tensorflow/compiler/mlir/tensorflow/translate/import_model.h"

namespace mlir {
namespace quant {
namespace {

using ::mlir::tf_executor::FetchOp;
using ::mlir::tf_executor::GraphOp;
using ::mlir::tf_executor::IslandOp;
using ::mlir::tf_saved_model::kTfSavedModelIndexPathAttr;
using ::tensorflow::kImportModelDefaultGraphFuncName;

#include "mlir/IR/BuiltinOps.h"  // from @llvm-project
#include "mlir/Support/LLVM.h"  // from @llvm-project
#include "tensorflow/compiler/mlir/tensorflow/ir/tf_saved_model.h"

namespace mlir {

std::vector<llvm::StringRef> GetEntryFunctionAttributeNames() {
  return {"tf.entry_function",
          tf_saved_model::kTfSavedModelInitializerTypeAttr};
}

bool IsEntryFunction(func::FuncOp func) {
  for (const auto &attr : GetEntryFunctionAttributeNames()) {

  func.func @main(%arg0: tensor<10x1x1024xf32> {tf_saved_model.index_path = ["input_tensor"]}) -> (tensor<10x1x3xf32> {tf_saved_model.index_path = ["output"]}) attributes {tf.entry_function = {control_outputs = "", inputs = "serving_default_input_tensor:0", outputs = "PartitionedCall:0"}, tf_saved_model.exported_names = ["serving_default"]} {

#include "tensorflow/compiler/mlir/tensorflow/ir/tf_saved_model.h"
#include "tensorflow/compiler/mlir/tensorflow/utils/convert_tensor.h"
#include "tensorflow/compiler/mlir/tensorflow/utils/session_utils.h"
#include "tensorflow/core/framework/resource_var.h"
#include "tensorflow/core/public/session.h"

namespace mlir {
namespace tf_saved_model {
namespace {

void InitializeVariable(TF::VarHandleOp var_handle_op,

  func.func @serving_default(%arg0: tensor<1x4xf32> {tf_saved_model.index_path = ["x"]}) -> (tensor<1x3xf32> {tf_saved_model.index_path = ["output"]}) attributes {tf.entry_function = {control_outputs = "", inputs = "serving_default_x:0", outputs = "PartitionedCall:0"}, tf_saved_model.exported_names = ["serving_default"]} {

#include "mlir/IR/Visitors.h"  // from @llvm-project
#include "mlir/Pass/PassManager.h"  // from @llvm-project
#include "mlir/Support/LLVM.h"  // from @llvm-project
#include "tensorflow/compiler/mlir/tensorflow/ir/tf_saved_model.h"
#include "tensorflow/compiler/mlir/tensorflow/translate/tf_mlir_translate.h"
#include "tensorflow/compiler/mlir/tensorflow/utils/convert_type.h"
#include "tensorflow/core/framework/tensor_shape.h"