docstr: Further initializes observer to be aware of rpc environment
  Args:
      state_size (list): List of integers denoting dimensions of state
      batch (bool): Whether agent will be using batch select action
code: def set_state(self, state_size, batch):
      r"""
      Further initializes observer to be aware of rpc environment
      Args:
          state_size (list): List of integers denoting dimensions of state
          batch (bool): Whether agent will be using batch select action
      """
      self.state_size = state_size
      self.select_action = (
          AgentBase.select_action_batch
          if batch
          else AgentBase.select_action_non_batch
      )
  
file_path: pytorch/benchmarks/distributed/rpc/rl/observer.py
imports: import random
  import time
  import torch
  import torch.distributed.rpc
  from agent import AgentBase
  from torch.distributed.rpc import rpc_sync
label_desc: Use image node_id 2 for calling the ObserverBase obj's underlying member method code with example usage: obj.set_state(state_size, batch) without return types