Hydra error : config_path is not specified in @hydra.main()

[Stephen Fernandes]

I tried running the script as mentioned in the readme file, for a custom dataset. ran everythin precisely and as mentioned, but still i get the error
config_path is not specified in @hydra.main() it seems its a new Hydra issue, i am not so fimilar with hydra, could you please show me a feasiable solution

here is the entire track of the problem
train.py:19: UserWarning: config_path is not specified in @hydra.main(). See https://hydra.cc/docs/next/upgrades/1.0_to_1.1/changes_to_hydra_main_config_path for more information. @hydra.main(config_name="config") /home/stephen/anaconda3/lib/python3.8/site-packages/hydra/_internal/defaults_list.py:251: UserWarning: In 'config': Defaults list is missing self. See https://hydra.cc/docs/upgrades/1.0_to_1.1/default_composition_order for more information warnings.warn(msg, UserWarning) Global seed set to 123456 Error executing job with overrides: ['data.train_path=data/train_manifest.json', 'data.val_path=data/val_manifest.json'] Traceback (most recent call last): File "train.py", line 25, in <module> hydra_main() File "/home/stephen/anaconda3/lib/python3.8/site-packages/hydra/main.py", line 48, in decorated_main _run_hydra( File "/home/stephen/anaconda3/lib/python3.8/site-packages/hydra/_internal/utils.py", line 377, in _run_hydra run_and_report( File "/home/stephen/anaconda3/lib/python3.8/site-packages/hydra/_internal/utils.py", line 214, in run_and_report raise ex File "/home/stephen/anaconda3/lib/python3.8/site-packages/hydra/_internal/utils.py", line 211, in run_and_report return func() File "/home/stephen/anaconda3/lib/python3.8/site-packages/hydra/_internal/utils.py", line 378, in <lambda> lambda: hydra.run( File "/home/stephen/anaconda3/lib/python3.8/site-packages/hydra/_internal/hydra.py", line 111, in run _ = ret.return_value File "/home/stephen/anaconda3/lib/python3.8/site-packages/hydra/core/utils.py", line 233, in return_value raise self._return_value File "/home/stephen/anaconda3/lib/python3.8/site-packages/hydra/core/utils.py", line 160, in run_job ret.return_value = task_function(task_cfg) File "train.py", line 21, in hydra_main train(cfg=cfg) File "/home/stephen/Desktop/Konkani_DeepSpeech2/deepspeech.pytorch/deepspeech_pytorch/training.py", line 25, in train checkpoint_callback = FileCheckpointHandler( File "/home/stephen/Desktop/Konkani_DeepSpeech2/deepspeech.pytorch/deepspeech_pytorch/checkpoint.py", line 16, in __init__ super().__init__( TypeError: __init__() got an unexpected keyword argument 'prefix'

[Stephen Fernandes]

@SeanNaren could you please provide me with a possible solution

[Saad A. Bazaz]

Facing a similar issue when calling python transcribe.py model.model_path=./models/an4_pretrained_v3.ckpt audio_path=./test_voice.wav:

transcribe.py:11: UserWarning: 
config_path is not specified in @hydra.main().
See https://hydra.cc/docs/next/upgrades/1.0_to_1.1/changes_to_hydra_main_config_path for more information.
  @hydra.main(config_name="config")
Error executing job with overrides: ['model.model_path=./models/an4_pretrained_v3.ckpt', 'audio_path=./test_voice.wav']
Traceback (most recent call last):
  File "transcribe.py", line 13, in hydra_main
    transcribe(cfg=cfg)
  File "/Users/saadbazaz/Projects/deepspeech.pytorch/deepspeech_pytorch/inference.py", line 49, in transcribe
    model_path=cfg.model.model_path
  File "/Users/saadbazaz/Projects/deepspeech.pytorch/deepspeech_pytorch/utils.py", line 31, in load_model
    model = DeepSpeech.load_from_checkpoint(hydra.utils.to_absolute_path(model_path))
  File "/Users/saadbazaz/opt/anaconda3/envs/transcription/lib/python3.7/site-packages/pytorch_lightning/core/saving.py", line 153, in load_from_checkpoint
    model = cls._load_model_state(checkpoint, *args, strict=strict, **kwargs)
  File "/Users/saadbazaz/opt/anaconda3/envs/transcription/lib/python3.7/site-packages/pytorch_lightning/core/saving.py", line 190, in _load_model_state
    model = cls(*cls_args, **cls_kwargs)
  File "/Users/saadbazaz/Projects/deepspeech.pytorch/deepspeech_pytorch/model.py", line 207, in __init__
    target_decoder=self.evaluation_decoder
TypeError: Can't instantiate abstract class WordErrorRate with abstract methods forward

Set the environment variable HYDRA_FULL_ERROR=1 for a complete stack trace.

[Sean Naren]

Will try to get to this ASAP!

[stale]

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