Comments (1)
I'm not really sure what you mean by this:
train_specgan -> train_wavegan (gives error)
train_specgan -> train_wavegan(create moments) -> train_wavegan (gives error)
SpecGAN/WaveGAN are separate models. You do not need to train a SpecGAN in order to train a WaveGAN and vice versa. I think what's happening is you're trying to load specgan checkpoints in the wavegan code. Change the training directory flag when running either script.
Reopen if this does not resolve your issue
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Related Issues (20)
- Transfer Learning using pre-trained checkpoints HOT 2
- Invalid argument: You must feed a value for placeholder tensor 'ngl' with dtype int32 HOT 2
- Can we change (increase) amount of training data in between sessions?
- Last layer of the generator in the CNN (size 16384) HOT 1
- Tensorflow2.4 support HOT 5
- Multi-channel audio doesn't work with --data_num_channels 2 in Jupyter Lab HOT 1
- Can you fix collab
- Generate MFCC
- Can't get this to run anymore - Need information on environment
- Single-frequency noisy sound in the result HOT 4
- Reading WaveGAN models using Tensorflow C API
- Code for continue training model from last ckpt? HOT 1
- Training starts but no updates are dumping to checkpoints? HOT 1
- Training higher quality audio for ~5 seconds
- Overtraining HOT 2
- Can't train the model
- Can't run HOT 4
- OSS License compatibility question
- Massive Tensorflow Error Message When Attempting to Train WaveGAN
- int() argument must be a string, a bytes-like object or a real number, not 'Tensor'
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from wavegan.