TensorFlow - Input 'split_dim' of 'Split' Op has type float32 that does not match expected type of int32

Question

I\'ve installed tensorflow using pip on ubuntu 16.04 LTS, when running this code https://github.com/aymericdamien/TensorFlow-Examples/blob/master/examples/3_NeuralNetworks/r

Answer 1

It is because the argument order has changed

You can see the issue here : https://github.com/tensorflow/tensorflow/issues/6501

Answer 2

It looks like you are using an older version of Tensorflow, and need to update to Tensorflow v0.12.0 or above. The error you are getting is indicating that the split_dim value in your tf.split function is expecting an integer, but is receiving the tensor x which is of type float32.

This is because in Tensorflow versions < 0.12.0 the split function takes the arguments as:

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

The tutorial you are working from was written for versions > 0.12.0, which has been changed to be consistent with Numpy's split syntax:

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

See the changelog for details: https://github.com/tensorflow/tensorflow/blob/64edd34ce69b4a8033af5d217cb8894105297d8a/RELEASE.md