tensorflow常见错误记录

       a = tf.constant([10, 20])
       b = tf.constant([1.0, 2.0])
       # 'fetches' can be a singleton
       v = session.run(a)
       # v is the numpy array [10, 20]
       # 'fetches' can be a list.
       v = session.run([a, b])
       # v is a Python list with 2 numpy arrays: the 1-D array [10, 20] and the
       # 1-D array [1.0, 2.0]
       # 'fetches' can be arbitrary lists, tuples, namedtuple, dicts:
       MyData = collections.namedtuple('MyData', ['a', 'b'])
       v = session.run({'k1': MyData(a, b), 'k2': [b, a]})
       # v is a dict with
       # v['k1'] is a MyData namedtuple with 'a' (the numpy array [10, 20]) and
       # 'b' (the numpy array [1.0, 2.0])
       # v['k2'] is a list with the numpy array [1.0, 2.0] and the numpy array
       # [10, 20].