class_docstr: Transpose observations.
class_docstr_tok: ["Transpose","observations","."]
code: def observation(self, observation):
      return observation.transpose(*self._axes)
  
imports: import argparse
  import functools
  import os
  import gym
  import gym.spaces
  import numpy
  import torch
  from torch import nn
  import pfrl
  from pfrl import experiments, explorers, replay_buffers, utils
  from pfrl.q_functions import DiscreteActionValueHead
label_desc: Use image node_id 2 for calling the TransposeObservation obj's underlying member method code with example usage: obj.observation(observation) and returns: observation