parameters: (seq, name='')
return_statement: return last(seq, name)
docstring: Returns the last element of its symbolic input sequence ``seq``
  
      Example:
          >>> x = C.sequence.input_variable(shape=(3,2))
          >>> y = C.sequence.last(x)
          >>> # create one sequence of 4 tensors each with shape (3,2)
          >>> x0 = np.reshape(np.arange(24.0,dtype=np.float32),(1,4,3,2))
          >>> y.eval({x:x0})
          array([[[ 18.,  19.],
                   [ 20.,  21.],
                   [ 22.,  23.]]], dtype=float32)
  
      Args:
          seq: the symbolic tensor denoting a sequence
          name (str): the name of the node in the network
  
      Returns:
          :class:`~cntk.ops.functions.Function`
docstring_summary: Returns the last element of its symbolic input sequence ``seq``
docstring_tokens: Returns the last element of its symbolic input sequence seq
function: def last(seq, name=''):
      '''
      Returns the last element of its symbolic input sequence ``seq``
  
      Example:
          >>> x = C.sequence.input_variable(shape=(3,2))
          >>> y = C.sequence.last(x)
          >>> # create one sequence of 4 tensors each with shape (3,2)
          >>> x0 = np.reshape(np.arange(24.0,dtype=np.float32),(1,4,3,2))
          >>> y.eval({x:x0})
          array([[[ 18.,  19.],
                   [ 20.,  21.],
                   [ 22.,  23.]]], dtype=float32)
  
      Args:
          seq: the symbolic tensor denoting a sequence
          name (str): the name of the node in the network
  
      Returns:
          :class:`~cntk.ops.functions.Function`
      '''
      from cntk.cntk_py import last
      seq = sanitize_input(seq, get_data_type(seq))
      return last(seq, name)
function_tokens: def last ( seq , name = '' ) : from cntk . cntk_py import last seq = sanitize_input ( seq , get_data_type ( seq ) ) return last ( seq , name )