parameters: (input_graph, elements=None)
return_statement: return _create_graph(input_graph, False, elements)
docstring: Returns a transformed eval input_graph for simulated quantization.
  
    The forward pass has fake quantization ops inserted to simulate the error
    introduced by quantization.
  
    Args:
      input_graph: The tf.Graph to be transformed.
      elements: (Optional) List of Tensors and Operations in input_graph whose
          corresponding elements in the new graph will be returned.
  
    Returns:
      Returns a tuple(g, l) where:
      g is new tf.Graph that is rewritten for simulated quantization.
      l is a list of Tensors/Operations in g corresponding to the provided input
          elements.
  
    Raises:
      ValueError: If elements contains an element that isn't a tf.Tensor or
          tf.Operation.
docstring_summary: Returns a transformed eval input_graph for simulated quantization.
docstring_tokens: Returns a transformed eval input_graph for simulated quantization .
function: def create_eval_graph(input_graph, elements=None):
    """Returns a transformed eval input_graph for simulated quantization.
  
    The forward pass has fake quantization ops inserted to simulate the error
    introduced by quantization.
  
    Args:
      input_graph: The tf.Graph to be transformed.
      elements: (Optional) List of Tensors and Operations in input_graph whose
          corresponding elements in the new graph will be returned.
  
    Returns:
      Returns a tuple(g, l) where:
      g is new tf.Graph that is rewritten for simulated quantization.
      l is a list of Tensors/Operations in g corresponding to the provided input
          elements.
  
    Raises:
      ValueError: If elements contains an element that isn't a tf.Tensor or
          tf.Operation.
    """
    return _create_graph(input_graph, False, elements)
function_tokens: def create_eval_graph ( input_graph , elements = None ) : return _create_graph ( input_graph , False , elements )