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in "training_tf2/lpcnet.py", line 246, in new_lpcnet_model,
ValueError: A Concatenate layer requires inputs with matching shapes except for the concat axis. Got inputs shapes: [(128, None, 20), (None, None, 64)]
Thank you!
The text was updated successfully, but these errors were encountered:
I got same problem while trying to train my own model.
I think I've followed right steps.
I have used src/concat.sh to get input.s16 and used dump_data to get features.f32 and data.s16.
And runned training_tf2/train_lpcnet.py.
Anything else to concern about?
Version of Python might be the answer to this issue.
I've rebuilt my environment and this error got away.
I was using Python 3.6.8 and got this error, but rebuilt the environment with 3.8 and concatenate error didn't appear.
Hope this will help you.
Hi, have you ever met this problem?
in "training_tf2/lpcnet.py", line 246, in new_lpcnet_model,
ValueError: A
Concatenate
layer requires inputs with matching shapes except for the concat axis. Got inputs shapes: [(128, None, 20), (None, None, 64)]Thank you!
The text was updated successfully, but these errors were encountered: