Question

我在ubuntu 16.04 LTS上使用pip安装了tensorflow，运行此代码时https://github.com/aymericdamien/TensorFlow-Examples/blob/master/examples/3_NeuralNetworks/recurrent_network.py我收到此错误

Successfully downloaded train-images-idx3-ubyte.gz 9912422 bytes. 
Extracting /tmp/data/train-images-idx3-ubyte.gz 
Successfully downloaded train-labels-idx1-ubyte.gz 28881 bytes. Extracting /tmp/data/train-labels-idx1-ubyte.gz 
Successfully downloaded t10k-images-idx3-ubyte.gz 1648877 bytes. 
Extracting /tmp/data/t10k-images-idx3-ubyte.gz
Successfully downloaded t10k-labels-idx1-ubyte.gz 4542 bytes. 
Extracting /tmp/data/t10k-labels-idx1-ubyte.gz 
Traceback (most recent call last): 
    File "deep.py", line 71, in <module>
        pred = RNN(x, weights, biases)   
    File "deep.py", line 60, in RNN
        x = tf.split(x, n_steps, 0)   
    File "/home/newuser/.local/lib/python2.7/site-packages/tensorflow/python/ops/array_ops.py", line 1234, in split
        name=name)   
    File "/home/newuser/.local/lib/python2.7/site-packages/tensorflow/python/ops/gen_array_ops.py", line 3241, in _split
    num_split=num_split, name=name)   
    File "/home/newuser/.local/lib/python2.7/site-packages/tensorflow/python/framework/op_def_library.py", line 508, in apply_op
    (prefix, dtypes.as_dtype(input_arg.type).name)) 
TypeError: Input 'split_dim' of 'Split' Op has type float32 that does not match expected type of int32.

Answer 1

看起来您使用的是旧版Tensorflow，需要更新到Tensorflow v0.12.0或更高版本。您收到的错误表明split_dim函数中的tf.split值期望一个整数，但是正在接收一个类型为float32的张量x。

这是因为在Tensorflow版本中＆lt; 0.12.0 split函数将参数作为：

x = tf.split(0, n_steps, x) # tf.split(axis, num_or_size_splits, value)

您正在使用的教程是针对版本＆gt;而编写的。 0.12.0，已更改为与Numpy的分割语法一致：

x = tf.split(x, n_steps, 0) # tf.split(value, num_or_size_splits, axis)

有关详细信息，请参阅更改日志： https://github.com/tensorflow/tensorflow/blob/64edd34ce69b4a8033af5d217cb8894105297d8a/RELEASE.md

Answer 2

这是因为参数顺序已经改变

您可以在此处查看问题：https://github.com/tensorflow/tensorflow/issues/6501

TensorFlow - 输入＆＃39; split_dim＆＃39; of＆＃39; Split＆＃39; Op的类型为float32，与int32的预期类型不匹配

2 个答案: