<p>Yes, this is done in the Neural GPU TensorFlow model by Łukasz Kaiser and Ilya Sutskever. </p>

<p>It uses GRUs rather than LSTMs, but those are very similar cell types. The model is also a little different from the typical RNN implementations. The nuance is that the model does not accept new inputs in time past the first time step: the inputs are fed to the initial cell state so that this "mental image" state evolves trough timesteps. </p>

<p>The paper is <a href="http://arxiv.org/abs/1511.08228" rel="nofollow">here</a>. 
The neural GPU model implementation in TensorFlow can be found <a href="https://github.com/tensorflow/models/tree/master/neural_gpu" rel="nofollow">here</a>. </p>
Is there an implementation of convolutional lstm in tensorflow?
<p>I am currently studying tensorflow. I just made some simple codes like CNN, RNN ans LSTM and so on. And now I want to implement convolutional lstm. I read <a href="http://arxiv.org/abs/1506.04214" rel="nofollow">this paper</a> and tried to implement it as an exercise. However, there were, as far as I searched, no codes available in the internet. If someone knows where the available source code is, please let me know. </p>