code: def __init__(self, gain=1.0):
      super().__init__(gain=gain)
  
imports: import numpy
  import tensorflow
  from tensorflow.python.ops.losses.losses_impl import Reduction
  from rl_coach.architectures.tensorflow_components.layers import Dense, convert_layer_class
  from rl_coach.base_parameters import AgentParameters
  from rl_coach.spaces import SpacesDefinition
  from rl_coach.utils import force_list
  from rl_coach.architectures.tensorflow_components.utils import squeeze_tensor
label_desc: Use image node_id 1 to create a new Orthogonal object from inherited base classes: tf.initializers with example: obj = Orthogonal(gain)