An advanced singing voice synthesis system with high fidelity, expressiveness, controllability and flexibility based on DiffSinger: Singing Voice Synthesis via Shallow Diffusion Mechanism
I was testing a newly trained model with a sample file.
When attempting variance inferencing it is throwing an error.
This file has been working with previous verions and previously trained models.
If I move the models to an older (Jul 17 2023) diffsinger commit before the melody_encoder code was added it works okay.
For this model config - use_melody_encoder: false .
Traceback (most recent call last):
File "scripts/infer.py", line 248, in <module>
main()
File "/home/blue/anaconda3/envs/diffactor/lib/python3.8/site-packages/click/core.py", line 1157, in __call__
return self.main(*args, **kwargs)
File "/home/blue/anaconda3/envs/diffactor/lib/python3.8/site-packages/click/core.py", line 1078, in main
rv = self.invoke(ctx)
File "/home/blue/anaconda3/envs/diffactor/lib/python3.8/site-packages/click/core.py", line 1688, in invoke
return _process_result(sub_ctx.command.invoke(sub_ctx))
File "/home/blue/anaconda3/envs/diffactor/lib/python3.8/site-packages/click/core.py", line 1434, in invoke
return ctx.invoke(self.callback, **ctx.params)
File "/home/blue/anaconda3/envs/diffactor/lib/python3.8/site-packages/click/core.py", line 783, in invoke
return __callback(*args, **kwargs)
File "scripts/infer.py", line 239, in variance
infer_ins.run_inference(
File "/var/repos/DiffSinger/inference/ds_variance.py", line 396, in run_inference
dur_pred, pitch_pred, variance_pred = self.forward_model(batch)
File "/home/blue/anaconda3/envs/diffactor/lib/python3.8/site-packages/torch/utils/_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
File "/var/repos/DiffSinger/inference/ds_variance.py", line 307, in forward_model
dur_pred, pitch_pred, variance_pred = self.model(
File "/home/blue/anaconda3/envs/diffactor/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "/var/repos/DiffSinger/modules/toplevel.py", line 245, in forward
base_pitch = base_pitch * pitch_retake + pitch * ~pitch_retake
TypeError: unsupported operand type(s) for *: 'NoneType' and 'Tensor'
I've taken a look through the code and I'm unable to spot what could be causing the issue. Debugging it I can see the "pitch" variable is None
Hi
I was testing a newly trained model with a sample file.
When attempting variance inferencing it is throwing an error. This file has been working with previous verions and previously trained models. If I move the models to an older (Jul 17 2023) diffsinger commit before the melody_encoder code was added it works okay. For this model config -
use_melody_encoder: false
.This is the inference ds file - test_on.ds.txt
The command run is
The output is:
I've taken a look through the code and I'm unable to spot what could be causing the issue. Debugging it I can see the "pitch" variable is None