// the extras like the bias etc.
      auto attr = TypeAttr::get(getElementTypeOrSelf(contraction.getType()));
      SmallVector<Attribute, 4> targs_values(operands.size() - 2, attr);

      ArrayAttr targs_attr = ArrayAttr::get(context, targs_values);
      attrs.push_back(
          NamedAttribute(StringAttr::get(context, "TArgs"), targs_attr));

  void TransposeRecursively(const ArrayRef<float> original_values,
                            const MutableArrayRef<float> target_values,
                            SmallVector<int64_t>& current_indices) const {
    // Map an element from `original_values` to `target_values` when a set of
    // indices is formed.
    if (current_indices.size() == rank_) {
      const int64_t original_index =

      TF::FakeQuantWithMinMaxVarsOp &fakequant_op) const {
    ::llvm::SmallVector<Value, 4> target_values;
    ::llvm::SmallVector<NamedAttribute, 4> target_attrs;
    target_values.push_back((*new_reorder_op.getODSResults(0).begin()));
    target_values.push_back((*min.begin()));
    target_values.push_back((*max.begin()));
    if (auto tmpAttr = num_bits) {