absl::Status SetAttrStringList(AbstractOperation*, const char* attr_name,
                               const void* const* values, const size_t* lengths,
                               int num_values, ForwardOperation*);
absl::Status SetAttrFloatList(AbstractOperation*, const char* attr_name,
                              const float* values, int num_values,
                              ForwardOperation*);

                                         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;
  virtual absl::Status SetAttrIntList(const char* attr_name,

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

        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,
                           ArraySlice<const float>(values, num_values));

  }
}

void TFE_OpSetAttrFloatList(TFE_Op* op, const char* 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,