I trained tacotron model with my custom dataset and I want to test its performance, but I am unable to load waveglow model using pytorch version "1.2.0" version.
here is the log
Traceback (most recent call last):
File "runner.py", line 35, in
waveglow = torch.load(waveglow_path,map_location='cpu')['model']
File "/usr/local/lib/python3.6/dist-packages/torch/serialization.py", line 386, in load
return _load(f, map_location, pickle_module, **pickle_load_args)
File "/usr/local/lib/python3.6/dist-packages/torch/serialization.py", line 563, in _load
magic_number = pickle_module.load(f, **pickle_load_args)
_pickle.UnpicklingError: invalid load key, '\x0a'.
i test tacotron trained model with torch version 1.0.0 but it was unable to load it.
PS: it think its versioning conflict problem but testing version 1.1.0 and 1.0.0 don't seam to reslove the problem
I trained tacotron model with my custom dataset and I want to test its performance, but I am unable to load waveglow model using pytorch version "1.2.0" version.
i test tacotron trained model with torch versionhere is the log
1.0.0
but it was unable to load it.PS: it think its versioning conflict problem but testing version 1.1.0 and 1.0.0 don't seam to reslove the problem