tensorflow enqueue_many传入多个值的列表传入异常问题————Shape () must have rank at least 1

tf 的队列操作enqueue_many传入的值是列表,但是放入[]列表抛异常

File "C:\Users\lihongjie\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\ops\data_flow_ops.py", line 377, in enqueue_many
    batch_dim = vals[0].get_shape().with_rank_at_least(1)[0]
  File "C:\Users\lihongjie\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\framework\tensor_shape.py", line 765, in with_rank_at_least
    raise ValueError("Shape %s must have rank at least %d" % (self, rank))
ValueError: Shape () must have rank at least 1

 

这是由于对于tf来说接收的一切值都是tensor张量,但是这里要想让enqueue_many知道传入的是列表可以设置  eqs = q.enqueue_many([[1.1,1.2,1.3],]) 

列表中多加一个逗号,后面不要加值,加了就不符合传入值;这样既是列表,又满足tf接收的是tensor张量的需求