BUG InvalidArgumentError (see above for traceback): You must feed a value for placeholder tensor 'Pl

为了想看一段代买的Tensor，加入了

                sess = tf.Session()print(sess.run(self.embedded_chars))

然后就报错：

InvalidArgumentError (see above for traceback): You must feed a value for placeholder tensor 'Placeholder_1' with dtype float
[[Node: Placeholder_1 = Placeholder[dtype=DT_FLOAT, shape=<unknown>, _device="/job:localhost/replica:0/task:0/device:CPU:0"]()]]

刚开始没找到错误，后来明白了。embedded_chars由两个量算得，但是都只定义了一个placeholder，没有赋值，所以得不到embedded_chars的值。例如（from https://github.com/tensorflow/tensorflow/issues/10632）：

import tensorflow as tfa = tf.placeholder(tf.float32)
b = tf.placeholder(tf.float32)
c = a + bwith tf.Session() as sess:print(c.eval(feed_dict={a:1.0})) # I did not feed any value to# `b` which is required for# evaluating `c`

里面只定义了a，没有定义b的量，会产生同样的报错。

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