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View Code? Open in Web Editor NEWA fully tensorized recurrent neural network using tensor-train decomposition
License: MIT License
A fully tensorized recurrent neural network using tensor-train decomposition
License: MIT License
Beautiful, beautiful work!
Any plans porting this to Keras?
Thanks
Martin
Hi, I followed your instructions and tried to train a rnn model, but met an error,
Traceback (most recent call last):
File "encoder_train.py", line 48, in
train(**vars(args))
File "/home/code/2021/tensorized-rnn/experiments/speaker_verification/encoder/main.py", line 40, in train
train_loader = create_train_loader(train_data_dir, train_frac)
File "/home/code/2021/tensorized-rnn/experiments/speaker_verification/encoder/main.py", line 202, in create_train_loader
SpeakerVerificationDataset(clean_data_root, train_dataset_len, train_frac),
File "/home/code/2021/tensorized-rnn/experiments/speaker_verification/encoder/data_objects/speaker_verification_dataset.py", line 22, in init
raise Exception("No speakers found. Make sure you are pointing to the directory "
Then I found that the 'create_train_loader' tried to use data under directory "_librispeech_train-clean-100_tisv". But I did not get the directory when running 'encoder_preprocess.py' is done.
Thank you.
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