code: def normalize(self, embeddings, dim=1, **kwargs):
      return torch.nn.functional.normalize(
          embeddings, p=self.p, dim=dim, **kwargs
      )
  
file_path: pytorch-metric-learning/src/pytorch_metric_learning/distances/base_distance.py
imports: import torch
  from ..utils.module_with_records import ModuleWithRecords
label_desc: Use image node_id 8 for calling the BaseDistance obj's underlying member method code with example usage: obj.normalize(embeddings, dim) and returns: torch