Tensorflow报错之一：InvalidArgumentError: You must feed a value for placeholder tensor 'inputs/x_input'

D:\program\anaconda3\lib\site-packages\tensorflow\python\framework\errors_impl.py in __exit__(self, type_arg, value_arg, traceback_arg)
472             compat.as_text(c_api.TF_Message(self.status.status)),
--> 473             c_api.TF_GetCode(self.status.status))
474     # Delete the underlying status object from memory otherwise it stays alive

InvalidArgumentError: You must feed a value for placeholder tensor 'Placeholder_1' with dtype float and shape [?,1]
[[Node: Placeholder_1 = Placeholder[dtype=DT_FLOAT, shape=[?,1], _device="/job:localhost/replica:0/task:0/device:CPU:0"]()]]

During handling of the above exception, another exception occurred:

InvalidArgumentErrorTraceback (most recent call last)
<ipython-input-71-abd8654a9e35> in <module>()
66     tf.global_variables_initializer().run()
67     for i in range(TRAINING_STEPS):
---> 68         sess.run(train_op, feed_dict={x: data, y_: label})
69         if i % 2000 == 0:
70             print("After %d steps, loss: %f" % (i, sess.run(loss, feed_dict={x: data, y_: label})))

具体报错如上，经过验证加入tf.reset_default_graph()，问题解决

InvalidArgumentError: You must feed a value for placeholder tensor ‘inputs/x_input’ with dtype float

[[Node: inputs/x_input = Placeholder[dtype=DT_FLOAT, shape=[], _device="/job:localhost/replica:0/task:0/cpu:0"]()]]

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在使用TensorBoard进行可视化的时候，出现了上面描述的错误。这个错误和dtype没有关系。目前个人理解为是当前路径下不能存在一个以上的events文件。解决方案有以下几个： 
1. 到存储的路径下把之前生成的文件给删了； 
2. 引用自别人的评论：if you’re using IPython or Jupyter, it’ll cause that problem after running repeatedly.there are two main ways that you could fix that: 
A.

tf.reset_default_graph()

1
call firstly, before your tf operations codeB. 
using

with tf.Graph().as_default() as g:
# your tf operations code

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For details, please refer https://stackoverflow.com/questions/35114376/error-when-computing-summaries-in-tensorflow如果有别的错误也可以参考这篇博文： 
http://blog.csdn.net/u012436149/article/details/53894364