Error in building a LSTM model due to tf version





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I am building a LSTM model to predict the evolution of time series but since I am refering to some previous version of tensorflow in my sources I have an error.
My code is :



from tensorflow.contrib import rnn







def LSTM(x):

    layer = {'weights':tf.Variable(tf.random_normal([rnn_size, 1])),'biases':tf.Variable(tf.random_normal([1]))}

    x = tf.transpose(x, [1,0,2])

    x = tf.reshape(x, [-1, chunk_size])

    x = tf.split(x, n_chunks, 0)

    lstm_cell = tf.nn.rnn_cell.LSTMCell(rnn_size, state_is_tuple=True, activation=tf.nn.relu)

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

    output = tf.matmul(outputs[-1], layer['weights']) + layer['biases']

    return output


And I end up with the error message:
module 'tensorflow.contrib.rnn' has no attribute 'rnn'



How can I modify my code to make it work with tensorflow 1.12.0 version?






python tensorflow lstm recurrent-neural-network







share|improve this question





























    0















    I am building a LSTM model to predict the evolution of time series but since I am refering to some previous version of tensorflow in my sources I have an error.
    My code is :



    from tensorflow.contrib import rnn
    

    

    

    
def LSTM(x):
    
    layer = {'weights':tf.Variable(tf.random_normal([rnn_size, 1])),'biases':tf.Variable(tf.random_normal([1]))}
    
    x = tf.transpose(x, [1,0,2])
    
    x = tf.reshape(x, [-1, chunk_size])
    
    x = tf.split(x, n_chunks, 0)
    
    lstm_cell = tf.nn.rnn_cell.LSTMCell(rnn_size, state_is_tuple=True, activation=tf.nn.relu)
    
    outputs, states = rnn.rnn(lstm_cell, x, dtype=tf.float32)
    
    output = tf.matmul(outputs[-1], layer['weights']) + layer['biases']
    
    return output


    And I end up with the error message:
    module 'tensorflow.contrib.rnn' has no attribute 'rnn'



    How can I modify my code to make it work with tensorflow 1.12.0 version?






    python tensorflow lstm recurrent-neural-network







    share|improve this question

























      0












      0








      0








      I am building a LSTM model to predict the evolution of time series but since I am refering to some previous version of tensorflow in my sources I have an error.
      My code is :



      from tensorflow.contrib import rnn
      

      

      

      
def LSTM(x):
      
    layer = {'weights':tf.Variable(tf.random_normal([rnn_size, 1])),'biases':tf.Variable(tf.random_normal([1]))}
      
    x = tf.transpose(x, [1,0,2])
      
    x = tf.reshape(x, [-1, chunk_size])
      
    x = tf.split(x, n_chunks, 0)
      
    lstm_cell = tf.nn.rnn_cell.LSTMCell(rnn_size, state_is_tuple=True, activation=tf.nn.relu)
      
    outputs, states = rnn.rnn(lstm_cell, x, dtype=tf.float32)
      
    output = tf.matmul(outputs[-1], layer['weights']) + layer['biases']
      
    return output


      And I end up with the error message:
      module 'tensorflow.contrib.rnn' has no attribute 'rnn'



      How can I modify my code to make it work with tensorflow 1.12.0 version?






      python tensorflow lstm recurrent-neural-network







      share|improve this question














      I am building a LSTM model to predict the evolution of time series but since I am refering to some previous version of tensorflow in my sources I have an error.
      My code is :



      from tensorflow.contrib import rnn
      

      

      

      
def LSTM(x):
      
    layer = {'weights':tf.Variable(tf.random_normal([rnn_size, 1])),'biases':tf.Variable(tf.random_normal([1]))}
      
    x = tf.transpose(x, [1,0,2])
      
    x = tf.reshape(x, [-1, chunk_size])
      
    x = tf.split(x, n_chunks, 0)
      
    lstm_cell = tf.nn.rnn_cell.LSTMCell(rnn_size, state_is_tuple=True, activation=tf.nn.relu)
      
    outputs, states = rnn.rnn(lstm_cell, x, dtype=tf.float32)
      
    output = tf.matmul(outputs[-1], layer['weights']) + layer['biases']
      
    return output


      And I end up with the error message:
      module 'tensorflow.contrib.rnn' has no attribute 'rnn'



      How can I modify my code to make it work with tensorflow 1.12.0 version?






      python tensorflow lstm recurrent-neural-network




      python tensorflow lstm recurrent-neural-network






      share|improve this question













      share|improve this question











      share|improve this question




      share|improve this question










      asked Jan 3 at 13:00









      ASUCBASUCB

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