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

suku · Accepted Answer · 2019-10-22 07:01:19Z

26

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

edited Oct 22, 2019 at 7:01

answered Feb 18, 2017 at 5:55

suku

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4 Comments

EngineeringAsArt Over a year ago

This is hard to follow, would you please indicate which versions of TensorFlow you are referring to. Is the top 1.1 and the bottom is 0.12?

suku Over a year ago

The code at the top is for 1.1 and the bottom is 0.12

Brendan A. Over a year ago

As of v.1.11 rnn.BasicLSTMCell has been deprecated in favor of tf.nn.rnn_cell.LSTMCell. See docs.

suku Over a year ago

Thanks @BrendanA. for pointing it out. I will update the answer soon

suku · Accepted Answer · 2019-10-22 06:58:03Z

0

Thanks @suku

I get the following error: ImportError: No module named 'tensorflow.contrib.rnn.python.ops.core_rnn'

To solve:

from tensorflow.contrib.rnn.python.ops import core_rnn

replaced by:

from tensorflow.python.ops import rnn, rnn_cell

and in my code I had used core_rnn.static_rnn:

 outputs,_ = core_rnn.static_rnn(cell, input_list, dtype=tf.float32)

I got the this error:

NameError: name 'core_rnn' is not defined

This is solved by replacing the line by:

outputs,_ = rnn.static_rnn(cell, input_list, dtype=tf.float32)

python: 3.6 64bit rensorflow:1.10.0

edited Oct 22, 2019 at 6:58

suku

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answered Aug 27, 2019 at 15:22

morteza karimian kelishadrokhi

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Comments

Basma Elshoky · Accepted Answer · 2021-01-31 13:08:42Z

0

Use static_rnn method instead of rnn.

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

instead of:

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

answered Jan 31, 2021 at 13:08

Basma Elshoky

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