code: def is_last_rank():
      return torch.distributed.get_rank() == (
          torch.distributed.get_world_size() - 1
      )
  
imports: import os
  import time
  from typing import Callable, Dict, List, Optional, Union
  import numpy
  import torch
  import torch.nn.functional
  from matplotlib import pyplot
  from sklearn.metrics import classification_report, confusion_matrix
  from torch import Tensor
  from nemo.collections.nlp.modules.common.megatron.utils import erf_gelu
  from nemo.collections.nlp.modules.common.megatron.utils import openai_gelu
  from nemo.collections.nlp.modules.common.megatron.utils import squared_relu
  from nemo.utils import logging
label_desc: Use image node_id 7 for calling a global function with example usage: is_last_rank() and returns: unknown