code: def element_reduction(self, losses, loss_indices, embeddings, labels):
      loss_dict = {
          "loss": {
              "losses": losses,
              "indices": loss_indices,
              "reduction_type": "element",
          }
      }
      return self.reducer(loss_dict, embeddings, labels)
  
file_path: pytorch-metric-learning/src/pytorch_metric_learning/reducers/per_anchor_reducer.py
imports: import torch
  from ..utils import common_functions
  from .base_reducer import BaseReducer
  from .mean_reducer import MeanReducer
label_desc: Use image node_id 2 for calling the PerAnchorReducer obj's underlying member method code with example usage: obj.element_reduction(losses, loss_indices, embeddings, labels) and returns: self