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20 hours ago •
rhasspy
rhasspy
Trouble Installing requirements on Ubuntu 24.04 for training
Hi all, I'm interested in training a new piper voice, and am trying to get things working on ubuntu 24.04 (wsl 2) Python version is 3.10, and I've been following the instructions in#24 4 However, even though I've installed everything correctly (I believe) I'm receiving the following error when I try to initiate training: Has anyone seen this, and know how to solve it? Thanks in advance.
Traceback (most recent call last):
File "/usr/lib/python3.10/runpy.py", line 196, in _run_module_as_main
return _run_code(code, main_globals, None,
File "/usr/lib/python3.10/runpy.py", line 86, in _run_code
exec(code, run_globals)
File "/home/daniel/piper/src/python/piper_train/__main__.py", line 147, in <module>
main()
File "/home/daniel/piper/src/python/piper_train/__main__.py", line 124, in main
trainer.fit(model)
File "/home/daniel/piper/src/python/.venv/lib/python3.10/site-packages/pytorch_lightning/trainer/trainer.py", line 608, in fit
call._call_and_handle_interrupt(
File "/home/daniel/piper/src/python/.venv/lib/python3.10/site-packages/pytorch_lightning/trainer/call.py", line 38, in _call_and_handle_interrupt
return trainer_fn(*args, **kwargs)
File "/home/daniel/piper/src/python/.venv/lib/python3.10/site-packages/pytorch_lightning/trainer/trainer.py", line 650, in _fit_impl
self._run(model, ckpt_path=self.ckpt_path)
File "/home/daniel/piper/src/python/.venv/lib/python3.10/site-packages/pytorch_lightning/trainer/trainer.py", line 1112, in _run
results = self._run_stage()
File "/home/daniel/piper/src/python/.venv/lib/python3.10/site-packages/pytorch_lightning/trainer/trainer.py", line 1191, in _run_stage
self._run_train()
File "/home/daniel/piper/src/python/.venv/lib/python3.10/site-packages/pytorch_lightning/trainer/trainer.py", line 1204, in _run_train
self._run_sanity_check()
File "/home/daniel/piper/src/python/.venv/lib/python3.10/site-packages/pytorch_lightning/trainer/trainer.py", line 1276, in _run_sanity_check
val_loop.run()
File "/home/daniel/piper/src/python/.venv/lib/python3.10/site-packages/pytorch_lightning/loops/loop.py", line 199, in run
self.advance(*args, **kwargs)
File "/home/daniel/piper/src/python/.venv/lib/python3.10/site-packages/pytorch_lightning/loops/dataloader/evaluation_loop.py", line 152, in advance
dl_outputs = self.epoch_loop.run(self._data_fetcher, dl_max_batches, kwargs)
File "/home/daniel/piper/src/python/.venv/lib/python3.10/site-packages/pytorch_lightning/loops/loop.py", line 199, in run
self.advance(*args, **kwargs)
File "/home/daniel/piper/src/python/.venv/lib/python3.10/site-packages/pytorch_lightning/loops/epoch/evaluation_epoch_loop.py", line 137, in advance
output = self._evaluation_step(**kwargs)
File "/home/daniel/piper/src/python/.venv/lib/python3.10/site-packages/pytorch_lightning/loops/epoch/evaluation_epoch_loop.py", line 234, in _evaluation_step
output = self.trainer._call_strategy_hook(hook_name, *kwargs.values())
File "/home/daniel/piper/src/python/.venv/lib/python3.10/site-packages/pytorch_lightning/trainer/trainer.py", line 1494, in _call_strategy_hook
output = fn(*args, **kwargs)
File "/home/daniel/piper/src/python/.venv/lib/python3.10/site-packages/pytorch_lightning/strategies/strategy.py", line 390, in validation_step
return self.model.validation_step(*args, **kwargs)
File "/home/daniel/piper/src/python/piper_train/vits/lightning.py", line 302, in validation_step
self.logger.experiment.add_audio(
AttributeError: 'ExperimentWriter' object has no attribute 'add_audio'
In case it helps, here's my pip list as well:
aiohappyeyeballs 2.6.1
aiohttp 3.11.14
aiosignal 1.3.2
async-timeout 5.0.1
attrs 25.3.0
audioread 3.0.1
certifi 2025.1.31
cffi 1.17.1
charset-normalizer 3.4.1
cmake 4.0.0
coloredlogs 15.0.1
Cython 0.29.37
decorator 5.2.1
filelock 3.18.0
flatbuffers 25.2.10
frozenlist 1.5.0
fsspec 2025.3.1
humanfriendly 10.0
idna 3.10
Jinja2 3.1.6
joblib 1.4.2
lazy_loader 0.4
librosa 0.11.0
lightning-utilities 0.14.2
lit 18.1.8
llvmlite 0.44.0
MarkupSafe 3.0.2
mpmath 1.3.0
msgpack 1.1.0
multidict 6.2.0
networkx 3.4.2
numba 0.61.0
numpy 1.24.4
nvidia-cublas-cu12 12.4.5.8
nvidia-cuda-cupti-cu12 12.4.127
nvidia-cuda-nvrtc-cu12 12.4.127
nvidia-cuda-runtime-cu12 12.4.127
nvidia-cudnn-cu12 9.1.0.70
nvidia-cufft-cu12 11.2.1.3
nvidia-curand-cu12 10.3.5.147
nvidia-cusolver-cu12 11.6.1.9
nvidia-cusparse-cu12 12.3.1.170
nvidia-cusparselt-cu12 0.6.2
nvidia-nccl-cu12 2.21.5
nvidia-nvjitlink-cu12 12.4.127
nvidia-nvtx-cu12 12.4.127
onnx 1.17.0
onnxruntime 1.21.0
packaging 24.2
pip 23.3.1
piper-phonemize 1.1.0
piper_train 1.0.0 /home/daniel/piper/src/python
platformdirs 4.3.7
pooch 1.8.2
propcache 0.3.1
protobuf 6.30.2
pycparser 2.22
pytorch-lightning 1.9.5
PyYAML 6.0.2
requests 2.32.3
scikit-learn 1.6.1
scipy 1.15.2
setuptools 75.6.0
soundfile 0.13.1
soxr 0.5.0.post1
sympy 1.13.1
threadpoolctl 3.6.0
torch 2.0.0+cu118
torchaudio 2.0.0+cu118
torchmetrics 0.11.4
tqdm 4.67.1
triton 2.0.0
typing_extensions 4.13.0
urllib3 2.3.0
wheel 0.45.1
yarl 1.18.3
I've also tried this on ubuntu 22.04, and get a similar result. I'm training on ljspeech to give myself a good baseline and get familiar with the training process, my command is like this:
python3 -m piper_train
--dataset-dir ~/piper/ljspeech
--accelerator 'gpu'
--devices 1
--batch-size 32
--validation-split 0.05
--num-test-examples 5
--max_epochs 1000
--checkpoint-epochs 1
--precision 32
--quality medium