code: def setup_distributed_env(self, flow):
      setup_torch_distributed(self.attributes["master_port"])
  
file_path: metaflow/metaflow/plugins/frameworks/pytorch.py
imports: import inspect
  import subprocess
  import pickle
  import tempfile
  import os
  import sys
  from metaflow import current
  from metaflow.plugins.parallel_decorator import ParallelDecorator
label_desc: Use image node_id 2 for calling the PytorchParallelDecorator obj's underlying member method code with example usage: obj.setup_distributed_env(flow) without return types