Exception: You are trying to load a weight file containing 69 layers into a model with 90 layers.

[mayowaosibodu]

Here's the issue I encounter:

wavenet$ KERAS_BACKEND=theano python wavenet.py predict with models/run_20160914_113209/config.json predict_seconds=1 sample_temperature=0.001 WARNING (theano.configdefaults): Only clang++ is supported. With g++, we end up with strange g++/OSX bugs. Using Theano backend. WARNING - root - Changed type of config entry "run_dir" from NoneType to unicode WARNING - root - Changed type of config entry "optimizer.epsilon" from NoneType to float INFO - wavenet - Running command 'predict' WARNING - wavenet - No observers have been added to this run INFO - wavenet - Started INFO - predict - Using checkpoint from epoch: 37 INFO - predict - Saving to "models/run_20160914_113209/samples/sample_epoch-00037_01s__sample-temp-0.001_seed-920639969.wav" INFO - build_model - Receptive Field: 4095 (928ms) ERROR - wavenet - Failed after 0:00:03! Traceback (most recent calls WITHOUT Sacred internals): File "wavenet.py", line 316, in predict model.load_weights(os.path.join(checkpoint_dir, last_checkpoint)) File "/Users/m/virtualenvs/wavenet/lib/python2.7/site-packages/keras/engine/topology.py", line 2500, in load_weights self.load_weights_from_hdf5_group(f) File "/Users/m/virtualenvs/wavenet/lib/python2.7/site-packages/keras/engine/topology.py", line 2552, in load_weights_from_hdf5_group str(len(flattened_layers)) + ' layers.') Exception: You are trying to load a weight file containing 69 layers into a model with 90 layers.

not sure what the problem is, but i think it might have to do with the model checkpoint in use?

[jtoytkt]

I have the same problem，maybe conf and model not match?

[basveeling]

Thanks! I uploaded a new model trained on VCTK :).