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`
code: def frame_width(self):
      return self.observation_spec.shape[1]
  
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 7 for calling the RenderedEnvProblem obj's underlying member method code with example usage: obj.frame_width() and returns: self