return isa<NameLoc>(loc) ||
           (isa<CallSiteLoc>(loc) &&
            isa<NameLoc>(mlir::cast<CallSiteLoc>(loc).getCallee()));
  });
}

// Finds the pattern of the location created by `ImporterBase::GetLocation`
// in `tensorflow/compiler/mlir/tensorflow/translate/import_model.cc`.
void FindQuantizationUnitsRecursively(Location loc,
                                      SmallVector<QuantizationUnit>& units) {

    // Create tensor attribute for this variable.
    absl::StatusOr<ElementsAttr> tensor_attr_or =
        ConvertTensor(tensor, &builder);
    if (!tensor_attr_or.ok()) {
      return module.emitOpError()
             << "failed to convert tensor (name: " << name.str() << ")";
    }
    ElementsAttr tensor_attr = tensor_attr_or.value();

    builder.create<tf_saved_model::GlobalTensorOp>(

    // Finally, use the quantization parameter to create the quantize and
    // dequantize ops, and insert them between the tf.FakeQuantWithMinMaxVarsOp
    // and its users.
    Value value = tf_op.getOutputs();
    auto quantize = rewriter.create<quantfork::QuantizeCastOp>(
        tf_op.getLoc(), qtype.getValue(), value);
    auto dequantize = rewriter.create<quantfork::DequantizeCastOp>(

  // Create SessionInitializerOp; should reference main function.
  StringAttr func_name = main_func.getSymNameAttr();
  llvm::SmallVector<mlir::Attribute, 2> func_names = {
      mlir::SymbolRefAttr::get(builder.getContext(), func_name)};
  builder.create<tf_saved_model::SessionInitializerOp>(
      module->getLoc(), builder.getArrayAttr(func_names));
  // Create AssetOp; this holds the checkpoint_path.

namespace stablehlo::quantization::io {

absl::StatusOr<std::string> GetLocalTmpFileName(tsl::Env* const env) {
  std::string tmp_fname{};
  if (!env->LocalTempFilename(&tmp_fname)) {
    return absl::InternalError("Failed to create tmp file name.");
  }

  return tmp_fname;
}

absl::StatusOr<std::string> GetLocalTmpFileName() {
  return GetLocalTmpFileName(tsl::Env::Default());
}

// A test-only derived class of `tsl::Env` which is broken. Used to cause
// failure for the `CreateTmpDir` function. Each of the overridden member
// functions implements a dummy functionality just to be able to create an
// instance of this class.
class TestEnvBrokenFileSystem : public tsl::Env {
 public:
  TestEnvBrokenFileSystem() = default;

  bool MatchPath(const tsl::string& path, const tsl::string& pattern) override {

  FunctionType function_type =
      builder.getFunctionType(input_types, return_types);

  std::string function_name = absl::StrCat("func_", subgraph.subgraph_id_);

  func::FuncOp new_func = func::FuncOp::create(builder.getUnknownLoc(),
                                               function_name, function_type);
  new_func.setVisibility(func::FuncOp::Visibility::Private);
  new_func.addEntryBlock();

  ConvertAssetArgsTest() {
    ctx_.loadDialect<func::FuncDialect, TF::TensorFlowDialect,
                     tf_saved_model::TensorFlowSavedModelDialect>();
  }

  // Parses `module_op_str` to create a `ModuleOp`. Checks whether the created
  // module op is valid.
  OwningOpRef<ModuleOp> ParseModuleOpString(
      const absl::string_view module_op_str) {
    auto module_op_ref = parseSourceString<ModuleOp>(module_op_str, &ctx_);

  auto var_handle_op_in_init = var_handle_op->clone();
  builder.insert(var_handle_op_in_init);
  auto const_op = builder.create<mlir::arith::ConstantOp>(
      session_init_func.getLoc(), tensor_attr.getType(), tensor_attr);

  builder.create<TF::AssignVariableOp>(
      session_init_func.getLoc(), llvm::ArrayRef<mlir::Type>{},
      llvm::ArrayRef<mlir::Value>{var_handle_op_in_init->getResult(0),

  }

  if constexpr (is_input) {
    auto pi = builder.create<TF::TPUPartitionedInputV2Op>(
        op.getLoc(), op.getType(), op.getOperands(),
        builder.getI64ArrayAttr(partition_dims), builder.getBoolAttr(false),
        op.get_XlaShardingAttr());
    op->replaceAllUsesWith(pi);
  } else {
    auto po = builder.create<TF::TPUPartitionedOutputV2Op>(
        op.getLoc(), op.getResultTypes(), op.getOperand(),