int num_values) = 0;
  virtual absl::Status SetAttrStringList(const char* attr_name,
                                         absl::Span<string const> values);
  virtual absl::Status SetAttrFloatList(const char* attr_name,
                                        const float* values,
                                        int num_values) = 0;

                               int num_values, ForwardOperation*);
absl::Status SetAttrFloatList(AbstractOperation*, const char* attr_name,
                              const float* values, int num_values,
                              ForwardOperation*);
absl::Status SetAttrIntList(AbstractOperation*, const char* attr_name,
                            const int64_t* values, int num_values,
                            ForwardOperation*);

  return op_->SetAttrTypeList(attr_name, values, num_values);
}
absl::Status SetAttrBoolList(AbstractOperation* op_, const char* attr_name,
                             const unsigned char* values, int num_values,
                             ForwardOperation* forward_op_) {
  std::unique_ptr<bool[]> b(new bool[num_values]);
  for (int i = 0; i < num_values; ++i) {
    b[i] = values[i];
  }

      v.reserve(num_values);
      for (int i = 0; i < num_values; ++i) {
        v.emplace_back(static_cast<const char*>(values[i]), lengths[i]);
      }
      op_->node_builder.Attr(attr_name, v);
    }
    return absl::OkStatus();
  }
  absl::Status SetAttrFloatList(const char* attr_name, const float* values,
                                int num_values) override {
    op_->node_builder.Attr(attr_name,

                            const float* values, int num_values) {
  auto s =
      tensorflow::unwrap(op)->SetAttrFloatList(attr_name, values, num_values);
  if (!s.ok()) {
    LOG(WARNING) << "Unable to set attribute: " << attr_name;
  }
}

void TFE_OpSetAttrIntList(TFE_Op* op, const char* attr_name,
                          const int64_t* values, int num_values) {
  auto s =

                        const unsigned char* values, int num_values) {
  std::unique_ptr<bool[]> b(new bool[num_values]);
  for (int i = 0; i < num_values; ++i) {
    b[i] = values[i];
  }
  desc->node_builder.Attr(attr_name,
                          ArraySlice<const bool>(b.get(), num_values));
}

void TF_SetAttrType(TF_OperationDescription* desc, const char* attr_name,

                               const TF_DataType* values, int num_values) {
  auto iter = builder->attr_names.insert(attr_name).first;
  builder->Set(*iter, tensorflow::gtl::ArraySlice<const tensorflow::DataType>(
                          reinterpret_cast<const tensorflow::DataType*>(values),
                          num_values));
}

void TF_AttrBuilderCheckCanRunOnDevice(TF_AttrBuilder* builder,

	case *dwarf.EnumType:
		if t.Align = t.Size; t.Align >= c.ptrSize {
			t.Align = c.ptrSize
		}
		t.C.Set("enum " + dt.EnumName)
		signed := 0
		t.EnumValues = make(map[string]int64)
		for _, ev := range dt.Val {
			t.EnumValues[ev.Name] = ev.Val
			if ev.Val < 0 {
				signed = signedDelta
			}
		}
		switch t.Size + int64(signed) {
		default: