Placeholders for LSTM-RNN parameters in TensorFlow -


i use placeholders dropout rate, number of hidden units, , number of layers in lstm-based rnn. below code trying.

 dropout_rate = tf.placeholder(tf.float32)   n_units = tf.placeholder(tf.uint8)   n_layers = tf.placeholder(tf.uint8)   net = rnn_cell.basiclstmcell(n_units)   net = rnn_cell.dropoutwrapper(net, output_keep_prob = dropout_rate)   net = rnn_cell.multirnncell([net] * n_layers)

the last line gives following error: 

  typeerror: expected uint8, got <tensorflow.python.ops.rnn_cell.dropoutwrapper     object ... of type 'dropoutwrapper' instead.

i appreciate help.

the error raised following code: [net] * n_layers.

you trying make list looking [net, net, ..., net] (with length of n_layers), n_layers placeholder of unknown value.

i can't think of way placeholder, guess must go standard n_layers=3. (anyway, putting n_layers placeholder not practice in first place.)


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