tensorflow错误记录:tf.concat

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错误提示:

python TypeError: Expected int32, got list containing Tensors of type '_Message' instead.

错误原因:

tensorflow版本的问题:

tensorflow1.0及以后api定义:(数字在后,tensors在前)

tf.stack(tensors, axis=axis)
For example:

t1 = [[1, 2, 3], [4, 5, 6]]
t2 = [[7, 8, 9], [10, 11, 12]]
tf.concat([t1, t2], 0) ==> [[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]]
tf.concat([t1, t2], 1) ==> [[1, 2, 3, 7, 8, 9], [4, 5, 6, 10, 11, 12]]

# tensor t3 with shape [2, 3]
# tensor t4 with shape [2, 3]
tf.shape(tf.concat([t3, t4], 0)) ==> [4, 3]
tf.shape(tf.concat([t3, t4], 1)) ==> [2, 6]
tensorflow之前版本(0.x版本:数字在前,tensors在后)
For example:


t1 = [[1, 2, 3], [4, 5, 6]]
t2 = [[7, 8, 9], [10, 11, 12]]
tf.concat(0,[t1, t2], 0)
tf.concat(1,[t1, t2], 1)

解决方法:

调整tf.concat函数中参数位置即可.

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作者:Devil_Satan 
来源:CSDN 
原文:https://blog.csdn.net/zcf1784266476/article/details/71248799 
版权声明:本文为博主原创文章,转载请附上博文链接!

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