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Home Page: https://www.kaggle.com/c/freesound-audio-tagging-2019
License: MIT License
Kaggle | 1st place solution for Freesound Audio Tagging 2019
Home Page: https://www.kaggle.com/c/freesound-audio-tagging-2019
License: MIT License
I run the train_fold.py and meet the following problem when training.
val_step() takes 2 positional arguments but 3 were given
I have no idea what leads to this problem. In each step, we get a tri-tuple from the dataloader, namely image, target, noisy. But the noisy is a zero tensor, how to feeds the noisy tenor to model ? Dose the noisy tensor result in the problem?
As of June 15., 2020.
After installing Docker and NVIDIA/Docker, after running python make_folds.py
When running python train_folds.py --experiment corr_noisy_008
ModuleNotFoundError: No module named 'numba.decorators'
Solution:
(refer to deezer/spleeter#419)
pip install numba==0.43.0
pip install llvmlite==0.32.1
solved
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