code: def get_max_per_row(self, *args, **kwargs):
      return self.get_x_per_row("max", *args, **kwargs)
  
file_path: pytorch-metric-learning/src/pytorch_metric_learning/miners/batch_easy_hard_miner.py
imports: import torch
  from ..utils import common_functions
  from ..utils import loss_and_miner_utils
  from .base_miner import BaseMiner
label_desc: Use image node_id 6 for calling the BatchEasyHardMiner obj's underlying member method code with example usage: obj.get_max_per_row() and returns: self