Open moonnee opened 5 years ago
It occurs to me, too. Have you solved it? I hope the lastet version of tensorflow would work.
It occurs to me, too. Have you solved it? I hope the lastet version of tensorflow would work.
Not yet. Still don't know which version of tensorflow works.
Unfortunately, I installed tensorflow-gpu 1.7, and still don't work. Mistakes:
AttributeError: module 'tensorflow.python.ops.rnn_cell_impl' has no attribute 'assert_like_runcell'
Hey bro, I just added this function myself through here: tensorflow source code, I added 'assert_like_runcell' at the head of "~/.local/lib/python3.x/site-pakages/tensorflow/python/ops/rnn_cell_impl.py". After that, it can start training.
But here's another problem: After training for two steps like below, it just Aborted. I can't figure out why... I used the default parameters inhparams.py
. Maybe I should change it somewhere?
Generated 20 test batches of size 32 in 1.118sec
Generated 64 train batches of size 32 in 3.095sec
Aborted(core dumped)
you can just find this function on tf1.9 and copy this into your tf1.6 in right place, have the same problem and solved it.
Quite a old thread, hope it may help someone:
NOTE: Using this repo: https://github.com/r9y9/Tacotron-2.git [and this brach: commit bbc6e3cd860d1ec01e65a97070e32a7adc6d7f17 (HEAD -> wavenet3, origin/wavenet3) ]
Despite different code base sharing the workaround fix here, because it's the same error in the context of tacotron2.
As a fix, I commented out the line as it was only checking for RNN cell. I made an assumption that this is the extra check and ideally should never happen. It kind of worked and I was able to get to the next step.
Environment:
Tensorflow -1.13.1, CUDA-10.0, Nvidia RTX 2060, Ubuntu 18.04 LTS
On executing the following:
python synthesize.py --model='Tacotron' --mode='eval' \
--hparams='symmetric_mels=False,max_abs_value=4.0,power=1.1,outputs_per_step=1' \
--text_list=/aimldl-dat/data-public/ljspeech/text_list.txt \
--input_dir=/aimldl-dat/data-public/ljspeech \
--checkpoint=/aimldl-dat/release/r9y9/tacotron/pretrained
I also got something similar error, but instead of assert_like_rnncell
at line 41, i got error about _like_rnncell
at line 47 in tacotron/models/custom_decoder.py". Logs below:
Traceback (most recent call last):
File "synthesize.py", line 34, in <module>
main()
File "synthesize.py", line 28, in main
tacotron_synthesize(args)
File "/codehub/external/r9y9-tacotron2/tacotron/synthesize.py", line 81, in tacotron_synthesize
run_eval(args, checkpoint_path, output_dir, sentences)
File "/codehub/external/r9y9-tacotron2/tacotron/synthesize.py", line 14, in run_eval
synth.load(checkpoint_path)
File "/codehub/external/r9y9-tacotron2/tacotron/synthesizer.py", line 24, in load
self.model.initialize(inputs, input_lengths)
File "/codehub/external/r9y9-tacotron2/tacotron/models/tacotron.py", line 112, in initialize
CustomDecoder(decoder_cell, self.helper, decoder_init_state),
File "/codehub/external/r9y9-tacotron2/tacotron/models/custom_decoder.py", line 47, in __init__
if not rnn_cell_impl._like_rnncell(cell): # pylint: disable=protected-access
AttributeError: module 'tensorflow.python.ops.rnn_cell_impl' has no attribute '_like_rnncell'
Verified solution in python 3.6: If the tensorflow version is lower than or equal to 1.9, 'rnn_cell_impl._like_rnncell' is available; if the version is higher than or equal to 1.13, you have to change to 'assert_like_rnncell'
Hi, thanks for your great work. I tried to run this work with tf1.6 on one GPU with mode 'Tacotron'. But got attribueError as below:
Not sure whether it is a matter of tensorflow version. Could anyone give some suggestions? What version of tensorflow works well? Thanks.