parameters: (self, input_tensors)
docstring: Sets the shapes and types of the queue tuple elements.
  
      input_tensors is a list of Tensors whose types and shapes are used
      to set the queue configuration.
  
      Args:
        input_tensors: list of Tensors of the same types and shapes as
          the desired queue Tuple.
  
      Raises:
        ValueError: if input_tensors is not a list of length
          self.number_of_tuple_elements
docstring_summary: Sets the shapes and types of the queue tuple elements.
docstring_tokens: Sets the shapes and types of the queue tuple elements .
function: def set_configuration_from_input_tensors(self, input_tensors):
      """Sets the shapes and types of the queue tuple elements.
  
      input_tensors is a list of Tensors whose types and shapes are used
      to set the queue configuration.
  
      Args:
        input_tensors: list of Tensors of the same types and shapes as
          the desired queue Tuple.
  
      Raises:
        ValueError: if input_tensors is not a list of length
          self.number_of_tuple_elements
      """
      if len(input_tensors) != self.number_of_tuple_elements:
        raise ValueError("input_tensors is %s, but should be a list of %d Tensors"
                         % (str(input_tensors), self.number_of_tuple_elements))
      self.set_tuple_shapes([t.shape for t in input_tensors])
      self.set_tuple_types([t.dtype for t in input_tensors])
function_tokens: def set_configuration_from_input_tensors ( self , input_tensors ) : if len ( input_tensors ) != self . number_of_tuple_elements : raise ValueError ( "input_tensors is %s, but should be a list of %d Tensors" % ( str ( input_tensors ) , self . number_of_tuple_elements ) ) self . set_tuple_shapes ( [ t . shape for t in input_tensors ] ) self . set_tuple_types ( [ t . dtype for t in input_tensors ] )