code: def is_empty_signals(
      labels: torch.Tensor,
      predictions: torch.Tensor,
      weights: torch.Tensor,
  ) -> bool:
      return (
          torch.numel(labels) <= 0
          and torch.numel(predictions) <= 0
          and torch.numel(weights) <= 0
      )
  
imports: from typing import Dict, List, Optional, Tuple
  import torch
  from torchrec.metrics.rec_metric import RecTaskInfo
label_desc: Use image node_id 1 for calling a global function with example usage: is_empty_signals(labels, predictions, weights) and returns: unknown