TypeError: Fetch argument 1000 has invalid type

一. 背景

继续做”字嵌入+LSTM+CRF“，一如既往地， 继续遇到问题。

二. 代码

batch_size = 1000


class Model:
    def __init__(self, inputs, labels):
        ....（此为省略代码的标志）
        # get the batch_size
        self.batch_size = batch_size



with tf.Graph().as_default() as g:
    X = tf.placeholder('float', [batch_size, max_seq_len, 128])
    Y = tf.placeholder('float', [batch_size, max_seq_len])
    model = Model(inputs=X, labels=Y)
    initer = tf.global_variables_initializer()




....  
loss, accuracy, size,  _ = sess.run([model.loss, model.accuracy, model.batch_size, model.optimizer], feed_dict={X: vectors, Y: labels})
....

三. 问题

四. 解决方案

后来发现原来是因为不可以向图中变量传入非（string or tensor）的值，解决方法是就是不传入值

删除掉batch_size的调用即可。

batch_size = 1000


class Model:
    def __init__(self, inputs, labels):
        ....（此为省略代码的标志）




with tf.Graph().as_default() as g:
    X = tf.placeholder('float', [batch_size, max_seq_len, 128])
    Y = tf.placeholder('float', [batch_size, max_seq_len])
    model = Model(inputs=X, labels=Y)
    initer = tf.global_variables_initializer()




....  
loss, accuracy,  _ = sess.run([model.loss, model.accuracy, model.optimizer], feed_dict={X: vectors, Y: labels})
....

五. 参考

https://blog.csdn.net/fontthrone/article/details/77017002