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I tried using the WandB logger for training in the TTS repo, but it didn't work.
CUDA_VISIBLE_DEVICES=0 python recipes/ljspeech/vits_tts/train_vits.py \ --coqpit.dashboard_logger wandb \ --coqpit.project_name FakeName \ --coqpit.wandb_entity FakeEntity \
It crashes with this error:
Traceback (most recent call last): File "runs/train_vits.py", line 85, in <module> eval_samples=eval_samples, File "/home/fijipants/miniconda3/envs/coqui-0.6.1/lib/python3.7/site-packages/trainer/trainer.py", line 359, in __init__ self.dashboard_logger = logger_factory(config, output_path) File "/home/fijipants/miniconda3/envs/coqui-0.6.1/lib/python3.7/site-packages/trainer/logging/__init__.py", line 36, in logger_factory entity=config.wandb_entity, TypeError: Can't instantiate abstract class WandbLogger with abstract methods add_audio, add_figure, add_scalar
It should work just like the default Tensorboard logger
No response
{ "CUDA": { "GPU": [ "NVIDIA GeForce RTX 3090", "NVIDIA GeForce RTX 3090" ], "available": true, "version": "11.3" }, "Packages": { "PyTorch_debug": false, "PyTorch_version": "1.10.2", "TTS": "0.6.1", "numpy": "1.19.5" }, "System": { "OS": "Linux", "architecture": [ "64bit", "" ], "processor": "x86_64", "python": "3.7.11", "version": "#202202230823 SMP PREEMPT Wed Feb 23 14:53:24 UTC 2022" } }
The text was updated successfully, but these errors were encountered:
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There are missing functions in the WB class that needs to be implemented for the fix.
wandb sync
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Describe the bug
I tried using the WandB logger for training in the TTS repo, but it didn't work.
To Reproduce
It crashes with this error:
Expected behavior
It should work just like the default Tensorboard logger
Logs
No response
Environment
Additional context
No response
The text was updated successfully, but these errors were encountered: