const std::string dump_file_path =
      tsl::io::JoinPath(*dump_dir, dump_file_name);
  TF_ASSIGN_OR_RETURN(std::unique_ptr<llvm::raw_ostream> file,
                      WritableFileWrapper::Create(dump_file_path));

  LOG(INFO) << "IR dump file created: " << dump_file_path;
  return file;
}

class PrinterConfig : public mlir::PassManager::IRPrinterConfig {
 public:
  explicit PrinterConfig(

  } else {
    return false;
  }
  return true;
}

// Create a dummy zero to be fed locally from the host to the TPUExecute.
Value CreateZeroInput(Location loc, OpBuilder& builder, Attribute zero_attr,
                      DenseIntElementsAttr shape_attr) {
  ConstOp zero = builder.create<ConstOp>(loc, zero_attr);
  zero->setAttr(kICIWeightDistributionMlirBridgeMarker,

      tensorflow::GetTypeFromTFTensorShape({1}, shape_dtype);
  auto expanded_start_index = rewriter->create<TF::ExpandDimsOp>(
      loc, vector_type, start_index, scalar_zero);
  auto start_position = rewriter->create<TF::ConcatOp>(
      loc, position_type, scalar_zero,
      ArrayRef<Value>({expanded_start_index, partial_start_position}));

  // Create the slice size tensor. This is done by concatenating `size` and
  // `partial_size`.

// be created).
static void DumpModule(mlir::ModuleOp module, std::string file_prefix) {
  std::string prefix = GetDumpDirFromEnvVar();
  if (prefix.empty()) return;

  auto* env = tensorflow::Env::Default();
  auto status = env->RecursivelyCreateDir(prefix);
  if (!status.ok()) {
    LOG(WARNING) << "cannot create directory '" << prefix
                 << "': " << status.message();

  for (const auto& device : devices)
    if (DeviceNameUtils::IsCompleteSpecification(spec, device))
      matching_devices.push_back(device);
  return matching_devices;
}

// Create error message for a conflicting attribute of a device.
template <typename T>
absl::Status MismatchedTPUSystemAttributeErr(absl::string_view attribute, T a,
                                             T b) {

  EXPECT_EQ(compilation_status.Delta(kOldBridgeWithFallbackModeSuccess), 0);
}

TEST(LegalizeTFTest, RecordsStreamzForNoMlirFallback) {
  FunctionDef my_func =
      tensorflow::FunctionDefHelper::Create("empty", {}, {}, {}, {}, {});

  tensorflow::FunctionDefLibrary fdef;
  *(fdef.add_function()) = my_func;
  tensorflow::FunctionLibraryDefinition flib_def(
      tensorflow::OpRegistry::Global(), fdef);

                                    tflite::BuiltinOperator builtin) {
  auto it = opcode_index_map_.insert({op_name, 0});

  // If the insert succeeded, the opcode has not been created already. Create a
  // new operator code and update its index value in the map.
  if (it.second) {
    it.first->second = opcodes_.size();
    auto custom_code = builtin == tflite::BuiltinOperator_CUSTOM

        rewriter.create<SubtractOp>(loc, b_max_diag_len, diag_len_d), b_zero);

    // x = max(d, 0) - offset
    // y = max(-d, 0) - offset
    Value x = rewriter.create<SubtractOp>(
        loc, rewriter.create<MaxOp>(loc, d, b_zero), offset);
    Value y = rewriter.create<SubtractOp>(
        loc, rewriter.create<MaxOp>(loc, neg_d, b_zero), offset);

    Value n_plus_x = rewriter.create<AddOp>(loc, iotaN, x);

  nodes_[inst] = node;
  return absl::OkStatus();
}

bool IsEntryFunctionArg(BlockArgument arg) {
  return arg.getParentRegion()->getParentOfType<FuncOp>().getName() == "main";
}

// Creates argument nodes from Block argument. If a name is supplied, that
// name will be used instead of generating a unique name.
Status Exporter::AddArgumentNode(BlockArgument arg, unsigned index,

  return UnrankedTensorType::get(element_type);
}

// Returns true if the op creates a TensorList.
bool IsTensorListInitOp(Operation* op) {
  return isa<TensorListReserveOp>(op) || isa<EmptyTensorListOp>(op) ||
         isa<TensorListFromTensorOp>(op);
}

// Returns the `element_shape` operand of the ops that create a TensorList.
Value GetElementShapeOperand(Operation* op) {