AttributeError: 'tensorflow.python.ops.rnn' has no attribute 'rnn'

Question

I am following this tutorial on Recurrent Neural Networks.

This is the imports:

import tensorflow as tf
from tensorflow.examples.tutorials.mnist import input_data
from tensorflow.python.ops import rnn
from tensorflow.contrib.rnn import core_rnn_cell

This is code for input processing:

x = tf.transpose(x, [1,0,2])
x = tf.reshape(x, [-1, chunk_size])
x = tf.split(x, n_chunks, 0)

lstm_cell = core_rnn_cell.BasicLSTMCell(rnn_size)
outputs, states = rnn.rnn(lstm_cell, x, dtype=tf.float32)

I am getting the following error for the outputs, states:

AttributeError: module 'tensorflow.python.ops.rnn' has no attribute 'rnn'

TensorFlow was updated recently, so what should be the new code for the offending line

Answer 1

For people using the newer version of tensorflow, add this to the code:

from tensorflow.contrib import rnn 


lstm_cell = rnn.BasicLSTMCell(rnn_size) 
outputs, states = rnn.static_rnn(lstm_cell, x, dtype=tf.float32)

instead of

from tensorflow.python.ops import rnn, rnn_cell 
lstm_cell = rnn_cell.BasicLSTMCell(rnn_size,state_is_tuple=True) 
outputs, states = rnn.rnn(lstm_cell, x, dtype=tf.float32)

PS: @BrendanA suggested that tf.nn.rnn_cell.LSTMCell be used instead of rnn_cell.BasicLSTMCell