Due to the fact that the 1.5.0 version of pytorch-lightning removed the distributed backend, some erorrs occured when running asteroid\egs\musdb18\X-UMX\train.py
To Reproduce
cd asteroid\egs\musdb18\X-UMXpython train.py
Expected behavior
Error message:
Traceback (most recent call last): File "train.py", line 500, in <module> main(arg_dic, plain_args) File "train.py", line 459, in main trainer = pl.Trainer( File "C:\Users\Huicheng Zhang\.conda\envs\xumx\lib\site-packages\pytorch_lightning\trainer\connectors\env_vars_connector.py", line 38, in insert_env_defaults return fn(self, **kwargs) TypeError: __init__() got an unexpected keyword argument 'distributed_backend'
Environment
Package versions
Run asteroid-versions and paste the output here:
Asteroid 0.5.1
PyTorch 1.10.0+cpu
PyTorch-Lightning 1.5.0
Additional info
After reinstalling pytorch-lightning to 1.4.9 the above problem will be solved. However it would be good to upgrade the code to PL 1.5.0
🐛 Bug
Due to the fact that the 1.5.0 version of pytorch-lightning removed the distributed backend, some erorrs occured when running
asteroid\egs\musdb18\X-UMX\train.py
To Reproduce
cd asteroid\egs\musdb18\X-UMX
python train.py
Expected behavior
Error message:
Traceback (most recent call last): File "train.py", line 500, in <module> main(arg_dic, plain_args) File "train.py", line 459, in main trainer = pl.Trainer( File "C:\Users\Huicheng Zhang\.conda\envs\xumx\lib\site-packages\pytorch_lightning\trainer\connectors\env_vars_connector.py", line 38, in insert_env_defaults return fn(self, **kwargs) TypeError: __init__() got an unexpected keyword argument 'distributed_backend'
Environment
Package versions
Run
asteroid-versions
and paste the output here:Asteroid 0.5.1 PyTorch 1.10.0+cpu PyTorch-Lightning 1.5.0
Additional info
After reinstalling pytorch-lightning to 1.4.9 the above problem will be solved. However it would be good to upgrade the code to PL 1.5.0