code: def reset(self):
      operations = list()
      zeros = tf_util.zeros(
          shape=(self.parallel_interactions,), dtype="int"
      )
      operations.append(
          self.buffer_index.assign(value=zeros, read_value=False)
      )
      if self.circular_buffer:
          operations.append(
              self.buffer_start.assign(value=zeros, read_value=False)
          )
      operations.append(self.memory.reset())
  
      # TODO: Synchronization optimizer initial sync?
  
      with tf.control_dependencies(control_inputs=operations):
          return super().reset()
  
imports: import logging
  import tensorflow
  from tensorforce import TensorforceError
  from tensorforce.core import ModuleDict, memory_modules, optimizer_modules, parameter_modules, SignatureDict, TensorDict, TensorSpec, TensorsSpec, tf_function, tf_util, VariableDict
  from tensorforce.core.models import Model
  from tensorforce.core.networks import Preprocessor
  from tensorforce.core.objectives import objective_modules
  from tensorforce.core.policies import policy_modules, StochasticPolicy
label_desc: Use image node_id 9 for calling the TensorforceModel obj's underlying member method code with example usage: obj.reset() and returns: super