class_docstr: An `EnvProblem` when observations are RGB arrays.
  
  This takes care of wrapping a rendered gym environment to behave like a
  `VideoProblem`. This class assumes the underlying gym environment is either a
  `gym_utils.RenderedEnv` or it natively returns rendered scene for
  observations. i.e. the underlying gym environment should have a
  `Box` observation space with the following shape: [frame_height, frame_width,
  channels]
  
  Note: The method resolution order for this class is:
  `RenderedEnvProblem`, `EnvProblem`, `Env`, `VideoProblem`, `Problem`
docstr: Initialize by calling both parents' constructors.
docstr_tok: ["Initialize","by","calling","both","parents","'","constructors","."]
code: def __init__(self, *args, **kwargs):
      """Initialize by calling both parents' constructors."""
      gym_env_problem.GymEnvProblem.__init__(self, *args, **kwargs)
      video_utils.VideoProblem.__init__(self)
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import numpy
  import png
  import six
  from tensor2tensor.data_generators import video_utils
  from tensor2tensor.envs import env_problem
  from tensor2tensor.envs import gym_env_problem
  from tensor2tensor.utils import contrib
  import tensorflow.compat.v1
label_desc: Use image node_id 1 to create a new RenderedEnvProblem object from inherited base classes: gym_env_problem, video_utils with example: obj = RenderedEnvProblem()