#include "tensorflow/core/framework/rendezvous.h"
#include "tensorflow/core/framework/resource_var.h"
#include "tensorflow/core/framework/tensor.h"
#include "tensorflow/core/public/session.h"

namespace mlir {
namespace tf_saved_model {

// Returns true if the variable 'var_handle_op' is initialized in 'session'.
bool IsVariableInitialized(mlir::TF::VarHandleOp var_handle_op,
                           llvm::StringRef device_name,

// RUN: stablehlo-quant-opt %s -split-input-file -stablehlo-quantize | FileCheck %s

// Test that hybrid quantized dot_general is produced when q/dq pair only exists
// for weight.

module attributes {tf_saved_model.semantics} {
  func.func private @quantize_dot_general_fn(%arg0: tensor<1x2xf32>) -> tensor<1x3xf32> attributes {tf._original_func_name = "main_0"} {
    %cst = stablehlo.constant dense<3.000000e-01> : tensor<2x3xf32>

#include "tensorflow/compiler/mlir/tensorflow/ir/tf_dialect.h"
#include "tensorflow/compiler/mlir/tensorflow/ir/tf_executor.h"
#include "tensorflow/compiler/mlir/tensorflow/ir/tf_saved_model.h"
#include "tensorflow/compiler/mlir/tensorflow/transforms/passes.h"
#include "xla/mlir_hlo/mhlo/IR/register.h"
#include "xla/mlir_hlo/mhlo/transforms/passes.h"
#include "tensorflow/core/ir/types/dialect.h"

  // FreezeVariables only freezes variables for TF v1 types. Separately handle
  // freezing of TF v2 GlobalTensor ops. (Ref: b/206855389)
  pm.addPass(mlir::tf_saved_model::CreateOptimizeGlobalTensorsPass());
  pm.addPass(mlir::tf_saved_model::CreateFreezeGlobalTensorsPass(
      /*allow_mutable_tensors=*/true));

  // Generic MLIR optimization passes.
  pm.addPass(mlir::createCanonicalizerPass());

    const PyFunctionLibrary& py_function_library) {
  std::unordered_set<std::string> tags;
  tags.insert(quantization_config.tf_saved_model().tags().begin(),
              quantization_config.tf_saved_model().tags().end());

  std::unique_ptr<MLIRContext> ctx = CreateMlirContextForQuantization();

  absl::StatusOr<absl::flat_hash_map<FunctionName, FunctionAlias>>

// Make sure Session init function is not considered mutation and
// initialization is removed.
module attributes {tf_saved_model.semantics, tf_saved_model.under_construction} {
  "tf_saved_model.session_initializer"() {initializers = [@Init]} : () -> ()
  func.func @Init() attributes {tf_saved_model.exported_names = ["Init"], tf_saved_model.initializer_type = "restore_op"} {
    // CHECK-NOT: "tf.VarHandleOp"

#include "mlir/IR/OwningOpRef.h"  // from @llvm-project
#include "mlir/Parser/Parser.h"  // from @llvm-project
#include "tensorflow/compiler/mlir/tensorflow/dialect_registration.h"
#include "tensorflow/compiler/mlir/tensorflow/ir/tf_saved_model.h"
#include "tensorflow/compiler/mlir/tensorflow/utils/attribute_utils.h"
#include "tensorflow/core/lib/core/status_test_util.h"
#include "tensorflow/core/platform/test.h"

namespace tensorflow {
namespace {

#include "tensorflow/compiler/mlir/quantization/tensorflow/passes/manipulate_model_attr.h"
#include "tensorflow/compiler/mlir/tensorflow/ir/tf_ops.h"
#include "tensorflow/compiler/mlir/tensorflow/ir/tf_saved_model.h"
#include "tensorflow/compiler/mlir/tensorflow/translate/import_model.h"

namespace mlir {
namespace quant {
namespace {

constexpr StringRef kSharedNameAttr = "shared_name";

  // FreezeVariables only freezes variables for TF v1 types. Separately handle
  // freezing of TF v2 GlobalTensor ops. (Ref: b/206855389)
  pm.addPass(mlir::tf_saved_model::CreateOptimizeGlobalTensorsPass());
  pm.addPass(mlir::tf_saved_model::CreateFreezeGlobalTensorsPass(
      /*allow_mutable_tensors=*/true));

  // Generic MLIR optimization passes.
  pm.addPass(mlir::createCanonicalizerPass());

    const PyFunctionLibrary& py_function_library) {
  std::unordered_set<std::string> tags;
  tags.insert(quantization_config.tf_saved_model().tags().begin(),
              quantization_config.tf_saved_model().tags().end());

  std::unique_ptr<MLIRContext> ctx = CreateMlirContextForQuantization();

  absl::StatusOr<absl::flat_hash_map<FunctionName, FunctionAlias>>