Uninformative model initialization error in parameter search

[Sinacam]

If network_config is misconfigured for search_params.py, this is the error that you get

  File "/home/user/miniconda3/envs/ray/lib/python3.8/site-packages/ray/tune/trainable/trainable.py", line 355, in train
    raise skipped from exception_cause(skipped)
  File "/home/user/miniconda3/envs/ray/lib/python3.8/site-packages/ray/tune/trainable/function_trainable.py", line 325, in entrypoint
    return self._trainable_func(
  File "/home/user/miniconda3/envs/ray/lib/python3.8/site-packages/ray/tune/trainable/function_trainable.py", line 651, in _trainable_func
    output = fn()
  File "/home/user/miniconda3/envs/ray/lib/python3.8/site-packages/ray/tune/trainable/util.py", line 374, in _inner
    inner(config, checkpoint_dir=None)
  File "/home/user/miniconda3/envs/ray/lib/python3.8/site-packages/ray/tune/trainable/util.py", line 365, in inner
    trainable(config, **fn_kwargs)
  File "search_params.py", line 37, in train_libmultilabel_tune
    trainer = TorchTrainer(
  File "/home/user/workspace/LibMultiLabel/torch_trainer.py", line 69, in __init__
    self._setup_model(
  File "/home/user/workspace/LibMultiLabel/torch_trainer.py", line 154, in _setup_model
    self.model = init_model(
  File "/home/user/workspace/LibMultiLabel/libmultilabel/nn/nn_utils.py", line 95, in init_model
    raise AttributeError(f"Failed to initialize {model_name}.")
AttributeError: Failed to initialize KimCNN.

which gives you no clue what the problem is.
This is because of how the exception is being handled:

LibMultiLabel/libmultilabel/nn/nn_utils.py

Lines 92 to 95 in 415d212

	try:
	network = getattr(networks, model_name)(embed_vecs=embed_vecs, num_classes=len(classes), **dict(network_config))
	except:
	raise AttributeError(f"Failed to initialize {model_name}.")

This does not rethrow the exception, it raises another one, and that is what is being shown in the error.