TEST(PermutationTest, PermuteEmptyArray) {
  const SmallVector<int> permutation_result =
      Permute<int>(SmallVector<int>{}, SmallVector<int64_t>{});
  EXPECT_THAT(permutation_result, IsEmpty());
}

TEST(PermutationTest, PermuteOneElement) {
  const SmallVector<int> single_element_array = {8};
  const SmallVector<int64_t> permutation = {0};

  const SmallVector<int> permutation_result =

func::FuncOp createMaxUnpoolingFunc(
    mlir::Builder* builder, const SmallVector<int64_t, 4>& input_shape,
    const SmallVector<int64_t, 4>& output_shape) {
  auto input_type = RankedTensorType::get(input_shape, builder->getF32Type());
  auto indices_type = RankedTensorType::get(input_shape, builder->getI64Type());
  auto output_type = RankedTensorType::get(output_shape, builder->getF32Type());
  SmallVector<mlir::Type, 2> input_types{input_type, indices_type};

namespace mlir::quant {
namespace {

void PackOperandTestHelper(
    const llvm::SmallVector<int64_t>& unpacked_shape,
    const llvm::SmallVector<int8_t>& unpacked_values, int pack_dim,
    const llvm::SmallVector<int64_t>& expected_packed_shape,
    const llvm::SmallVector<int8_t>& expected_packed_values) {
  MLIRContext context;
  OwningOpRef<ModuleOp> module(ModuleOp::create(UnknownLoc::get(&context)));

// of the index path attribute.
SmallVector<NamedAttribute> ReplaceBoundInputAttrWithIndexPathAttr(
    const ArrayRef<NamedAttribute> arg_attrs, const StringRef index_path,
    Builder& builder) {
  // Keep all other attributes except the tf_saved_model.bound_input attribute,
  // as we are replacing it with tf_saved_model.index_path.
  SmallVector<NamedAttribute> new_arg_attrs;
  for (auto arg_attr : arg_attrs) {

  // time-majored. shrink_axis_mask: should be 0b010 = 2 or 0b001 = 1 if it's
  // time-majored.
  SmallVector<int64_t, 2> last_output_shape({batch, n_output});

  SmallVector<int32_t, 3> end({0, 0, 0});
  SmallVector<int32_t, 3> strides({1, 1, 1});
  SmallVector<int32_t, 3> begin;

  int64_t new_axis_mask = 0;
  int64_t ellipsis_mask = 0;
  int64_t begin_mask;
  int64_t end_mask;

            .getValue(),
        ftype);

    func->setAttrs(graph_func->getAttrs());

    llvm::SmallVector<Type> arg_types;
    llvm::SmallVector<Type> res_types;
    llvm::SmallVector<DictionaryAttr> arg_attrs;
    llvm::SmallVector<DictionaryAttr> res_attrs;
    if (failed(FilterTfgSpecificArgResultAttributes(
            getContext(), ftype.getInputs(), graph_func.getAllArgAttrs(),

  const UniformQuantizedPerAxisType quantized_type =
      CreateI8F32UniformQuantizedPerAxisType(
          UnknownLoc::get(&ctx_), ctx_,
          /*scales=*/SmallVector<double, 2>{1.0, 1.0},
          /*zero_points=*/SmallVector<int64_t, 2>{0, 0},
          /*quantization_dimension=*/0);

  // Storage type of `i8` is currently verifiable as `unsigned` in `Types.cpp`.

}

// Return a vector of the return indices.
llvm::SmallVector<llvm::SmallVector<int, 4>> GetReturnIndicesVec(
    const llvm::SmallVector<TF::IfRegionOp, 8>& if_op_segment) {
  llvm::SmallVector<llvm::SmallVector<int, 4>> return_indices_vec;
  for (auto it = if_op_segment.begin(); it != if_op_segment.end(); ++it) {
    llvm::SmallVector<int, 4> indices_to_keep_vec =
        GetReturnIndicesToKeep(*it, if_op_segment);

SmallVector<TF::AssignVariableOp> GetTailWritesToReplicateInvariantResourceVars(
    tf_device::ReplicateOp replicate_op) {
  SmallVector<TF::AssignVariableOp, 16> tail_assign_variable_ops;
  llvm::SmallDenseSet<Value, 16> visited_resources;
  for (auto& op :
       llvm::reverse(replicate_op.getRegion().front().getOperations())) {
    SmallVector<Value> op_accessed_resources = GetAccessedResources(op);

    // and input devices, variables used by this function.
    llvm::SmallVector<llvm::StringRef, 4> input_names;
    llvm::SmallVector<
        std::pair<tensorflow::DataType, tensorflow::PartialTensorShape>, 4>
        input_specs;
    llvm::SmallVector<llvm::StringRef, 4> input_devices;
    llvm::SmallVector<mlir::Operation*, 4> bound_inputs;
    for (unsigned i = 0, e = func.getNumArguments(); i != e; ++i) {