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Due to the 2GB contiguous block allocation limitation of 32 bit systems, this line:
https://github.com/readbeyond/aeneas/blob/master/aeneas/audiofile.py#L447
might throw a MemoryError, causing an "unexpected exception".
We should:
- catch it and log a meaningful error
- document this limitation somewhere
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Multi GPU Support
I'd like to train this model on 8 V100 GPUs - does it support multi GPU training?
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After testing this code, I found out that following dependencies must be updated otherwise Exception occurs :
Pytorch > 1.0 # F.one_hot function isn't available in PyTorch v1.0 it requires 1.1 or 1.2
librosa==0.7.0 # for Griffin-Lim -> librosa.feature.inverse introduced in librosa 0.7.0
Also for running soundfile following OS dependency required
sudo apt-get install libsndfile1
It looks like the default initialization scheme with tf.get_variable is uniform Glorot , but the paper uses He's Gaussian.
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Final goal is to produce a functional Cboard app for iOS.
We have to use the Cordova repository called ccboard which is already producing the Android app:
https://github.com/cboard-org/ccboard
- Update readme file to include app compilation and production
- Find for bugs running the app on iOS
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After training, using some script like this: https://github.com/tensorflow/tensorflow/blob/master/tensorflow/python/tools/freeze_graph.py ?
What should be the input node name(s) and output node names used for freeze and inference later?
Thanks!