class_docstr: Executor is the object providing efficient symbolic and imperative graph
  execution and optimization.
  
  Examples
  --------
  >>> # typical approach to create an executor is to bind symbol
  >>> a = mx.sym.var('a')
  >>> b = mx.sym.var('b')
  >>> c = 2 * a + b
  >>> texec = c._bind(mx.cpu(), {'a': mx.nd.array([1,2]), 'b':mx.nd.array([2,3])})
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docstr: Get dictionary representation of output arrays.
  
  Returns
  -------
  output_dict : dict of str to NDArray
      The dictionary that maps name of output names to NDArrays.
  
  Raises
  ------
  ValueError : if there are duplicated names in the outputs.
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code: def output_dict(self):
      """Get dictionary representation of output arrays.
  
      Returns
      -------
      output_dict : dict of str to NDArray
          The dictionary that maps name of output names to NDArrays.
  
      Raises
      ------
      ValueError : if there are duplicated names in the outputs.
      """
      ret = {}
      for k, v in zip(self._output_names, self.outputs):
          ret[k] = v
      return ret
  
file_path: mxnet/python/mxnet/executor.py
imports: import numpy
  from .None import ndarray
label_desc: Use image node_id 11 for calling the Executor obj's underlying member method code with example usage: obj.output_dict() and returns: ret