}
Status SetAttrIntList(AbstractOperation* op_, const char* attr_name,
                      const int64_t* values, int num_values,
                      ForwardOperation* forward_op_) {
  forward_op_->attrs.Set(
      attr_name, gtl::ArraySlice<const int64_t>(
                     reinterpret_cast<const int64_t*>(values), num_values));
  return op_->SetAttrIntList(attr_name, values, num_values);
}

                          int num_values) override {
    op_->node_builder.Attr(attr_name,
                           ArraySlice<const float>(values, num_values));
    return absl::OkStatus();
  }
  Status SetAttrIntList(const char* attr_name, const int64_t* values,
                        int num_values) override {
    op_->node_builder.Attr(
        attr_name, ArraySlice<const int64_t>(

                   merge_op.length());
  const std::string final_op("Id");
  TF_SetAttrString(reduce_desc, "final_op", final_op.c_str(),
                   final_op.length());
  TF_SetAttrIntList(reduce_desc, "subdiv_offsets", nullptr, 0);
  TF_AddInput(reduce_desc, x);
  TF_Operation* reduce_op = TF_FinishOperation(reduce_desc, status);
  if (TF_GetCode(status) != TF_OK) return;

  }
}

void TFE_OpSetAttrIntList(TFE_Op* op, const char* attr_name,
                          const int64_t* values, int num_values) {
  auto s =
      tensorflow::unwrap(op)->SetAttrIntList(attr_name, values, num_values);
  if (!s.ok()) {
    LOG(WARNING) << "Unable to set attribute: " << attr_name;
  }
}

void TFE_OpSetAttrTypeList(TFE_Op* op, const char* attr_name,