Object duplication in MultiRNNCell declaration

Hi spiglerg!

First off, I want to say that your code has helped me become much more familiar with the RNN framework inside of Tensorflow. Thank you!

I noticed that on line 47 of rnn_tf.py you create a two-element list of LSTM cells by saying: [self.lstm_cell]*self.num_layers Which creates a list of two of the exact same TF objects. Since each TF object has its own set of trainable parameters, won’t duplicating the same TF object cause the network to have two layers of LSTM cells that have the exact same parameters?

[spiglerg]

I don’t think it’s a problem as BasicLSTMCell parameters are initialized within their call function, which is only called from dynamic_run().

[spiglerg]

Awesome. 😃