code: def compute_multiclass_recall_at_k(
      tp_at_k: torch.Tensor,
      total_weights: torch.Tensor,
  ) -> torch.Tensor:
      return tp_at_k / torch.unsqueeze(total_weights, dim=-1)
  
file_path: torchrec/torchrec/metrics/multiclass_recall.py
imports: from typing import Any, cast, Dict, List, Optional, Type
  import torch
  from torchrec.metrics.metrics_namespace import MetricName, MetricNamespace, MetricPrefix
  from torchrec.metrics.rec_metric import MetricComputationReport, RecMetric, RecMetricComputation, RecMetricException
label_desc: Use image node_id 2 for calling a global function with example usage: compute_multiclass_recall_at_k(tp_at_k, total_weights) and returns: unknown