Using a `tf.Tensor` as a Python `bool` is not allowed

今天在处理数据时，有个小问题，就是

import tensorflow as tf

a = tf.constant([1,2,3])
b = tf.equal(a, 0)

with tf.Session() as ss:
    print(ss.run(a,b))
 #报错 Using a `tf.Tensor` as a Python `bool` is not allowed   

但是如果这样写就不会报错

import tensorflow as tf

a = tf.constant([1,2,3])
b = tf.equal(a, 0)

with tf.Session() as ss:
    print(ss.run(a))
    print(ss.run(b))

难道一定要将不同层的变量单独拿出来吗？ 最后找到了github上的解答，发现不是这样的，原来要放到一个数组里，要不第二个参数会认为是 ==feed_dict ==

import tensorflow as tf

a = tf.constant([1,2,3])
b = tf.equal(a, 0)

with tf.Session() as ss:
    print(ss.run([a,b]))  #放到一个数组里。。。

最后我真的想说：

import torch as tf