basic_cell = tf.contrib.rnn.core_rnn_cell.DropoutWrapper( AttributeError: module 'tensorflow.contrib.rnn' has no attribute 'core_rnn_cell'

[karanpande]

I am on python 3 and tensorflow version 0.12.0

i am getting this error while calling 03-twitter-chatbot.py can someone help me solve this

[karanpande]

Thank you

[bandarikanth]

replace this code in place of previous code: use tensorflow>=1.0

basic_cell = tf.contrib.rnn.DropoutWrapper( tf.contrib.rnn.BasicLSTMCell(emb_dim, state_is_tuple=True), output_keep_prob=self.keep_prob) # stack cells together : n layered model stacked_lstm = tf.contrib.rnn.MultiRNNCell([basic_cell] * num_layers, state_is_tuple=True)

[zwep]

Shouldnt it be something like tf.nn.rnn_cell.... ?

[bandarikanth]

It's tf.contrib.rnn.your requirements. Like to.contrib.rnn.basiclstm or dropout. You need to use tensorflow =1.2 or above

If you have further questions mail me at [email protected]

On 02-Jan-2018 6:51 PM, "zwep" [email protected] wrote:

Shouldnt it be something like tf.nn.rnn_cell.... ?

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[karanpande]

.nn or contrib depends on the tensorflow version . E.g.if on tensorflow 1.0 and above use contrib, if using the 0.9 and below use nn.

Sent from my iPhone

On Jan 2, 2018, at 6:52 PM, zwep <[email protected]mailto:[email protected]> wrote:

Shouldnt it be something like tf.nn.rnn_cell.... ?

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[pzhao16me]

it the tf.VERSION > 1.0 , Then use 'tf.contrib.rnn.DropoutWrapper()' to replace 'tf.contrib.rnn.core_rnn_cell.DropoutWrapper()' the same way for the 'tf.contrib.rnn.BasicLSTMCell ()' and the 'tf.contrib.rnn.MultiRNNCell()'

this will be ok

[ombits]

@zp672087110 : i am using python 3.6.4 and tf version 1.2.1. i modified as you suggested above and getting following error message basic_cell = tf.contrib.rnn.DropoutWrapper(tf.contrib.rnn.BasicLSTMCell(emb_dim, state_is_tuple=True),output_keep_prob=self.keep_prob) AttributeError: module 'tensorflow.contrib.rnn' has no attribute 'DropoutWrapper'

[ombits]

It worked after changing the tf version to 1.0.0

[karanpande]

It should technically work for anything above tf version 1.0.0 . But I'm glad it's working for you .

Sent from my iPhone

On Mar 13, 2018, at 3:54 PM, ombits <[email protected]mailto:[email protected]> wrote:

It worked after changing the tf version to 1.0.0

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[pzhao16me]

@ombits sorry i just see now, the version i use is 1.2.

[pzhao16me]

@karanpande maybe you need to check the seq2seq_wrapper.py or update it