code: def get_logits(self, embeddings):
      return self.distance(embeddings, self.proxies)
  
file_path: pytorch-metric-learning/src/pytorch_metric_learning/losses/proxy_losses.py
imports: import torch
  from ..utils import common_functions
  from .mixins import WeightRegularizerMixin
  from .nca_loss import NCALoss
label_desc: Use image node_id 4 for calling the ProxyNCALoss obj's underlying member method code with example usage: obj.get_logits(embeddings) and returns: self