code: def get_batch(self):
      self.dataloader_iter, curr_batch = c_f.try_next_on_generator(
          self.dataloader_iter, self.dataloader
      )
      anchors, posnegs, labels = self.data_and_label_getter(curr_batch)
      data = (anchors, posnegs)
      labels = c_f.process_label(
          labels, self.label_hierarchy_level, self.label_mapper
      )
      return self.maybe_do_batch_mining(data, labels)
  
file_path: pytorch-metric-learning/src/pytorch_metric_learning/trainers/twostream_metric_loss.py
imports: import torch
  from ..utils import common_functions
  from ..utils import loss_and_miner_utils
  from .base_trainer import BaseTrainer
label_desc: Use image node_id 2 for calling the TwoStreamMetricLoss obj's underlying member method code with example usage: obj.get_batch() and returns: self