Hi, I'd like to run your rnn_gan.py, but probably because I'm using the latest version of tensorflow, I have a problem. The script doesn't work. I modified several lines because in tensorflow 1.2.0 they change the ordering, notation, and so on. Also, since we don't have tf.nn.bidirectional_rnn in tensorflow 1.2.0, I tried other bidirectional rnn. Then I got some errors, (mostly ValueErrors, rank incorrespondence, different input shape, etc...)

I'm using Ubuntu 14.04 with GeForce GTX TITAN X (12GB). Is it because of the different version of tensorflow? or Am I missing some points? Also, could you tell me which version of tensorflow you're using?

Thanks.

Hi, Great work with the code! My question is which Tensorflow version did you use to compile it and is there a 1.3.0 version available?

Thanks in advance

Hi, I realize a rnn-gan on a sequence data rencently. But I found the D_loss is close to zero fast and G_loss not converged for a long time when I add a RNN in Ｄ-net.And everything is OK when I discard the rnn structure in D-net.Why that could be happened?Or should Ｉ use the bidirectional rnn structure as your paper used?

Hi, Thanks for sharing your code. I was just wondering what version of Python have you used to implement your code? I tried a couple of different versions (e.g., 2.7.9, 2.7.13, 3.5.0, and 3.5.2), but each had their own problems. For example, the pythonMidi is sucessfully installed with 2.7.9, but it does not support TensorFlow, while 3.5.2 work with TensorFlow, but not pythonMidi! So, I am wondering which version of Python have you used which is compatible with both pythonMidi and TensorFlow. Thanks, Nima

Hi, I tried to run rnn-gan.py with command line --model small --datadir data/examples/ --traindir data/traindir/ --select_validation_percentage 20 --select_test_percentage 20 but this program run out of memory.

And I found that during pre-training period every session.run in function run_epoch leaked some memory when debugging. Every 10 "session.run"s cost about 70M RAM so that after 3 epoch of pre-training this program run out of memory. I don't know how it leaked my memory. I hope anyone could solve this error.

I worked on 8GB memory, GTX850M, Ubuntu 16.04

Thanks Lvgen

Hi. Great work. Could you please provide a Keras implementation of the model? I had an idea for testing the model for signal synthesis of some kind but I'm not familiar with TF. Thanks

Hi, my name is Shixian Wen. I am currently a computer science Ph.D. student at University of Southern California. Your code is great, but I found some small bugs that could be some problems. 1: in line #250 you cannot define MultiRNNCell([lstm_cell] * FLAGS.num_layers_g, state_is_tuple=True) like this. you should use something like [cell for _ in range(config.num_layers)] in https://github.com/tensorflow/models/blob/master/tutorials/rnn/ptb/ptb_word_lm.py official tutorial. The reason is here https://stackoverflow.com/questions/45456116/valueerror-trying-to-share-variable-enco-gru-cell-gates-kernel-but-specified-s

2: you did not update the state c and state h for discriminator and generator: You were trying to update the state in generator from #557 to #559 for generator, but you comment it out. You did not update the state of discriminator at all. see the code in ptb_word_lm.py #402 to #402 The reason is here: https://stackoverflow.com/questions/40991975/how-are-the-batches-iterated-in-the-ptb-lstm-example-of-tensorflow/40998815#40998815

I am trying to run the code with Tensorflow 1.15.0 but I am having issues. Could you please let me know what version of tensorflow are you using here?

Thank you very much for sharing. I am a student who has just come into contact with music generation. I found that the code seems to only train the network , But not generate new music with midi format. How can I generate new midi format music?