load_dataset process getting Killed about s4 HOT 6 CLOSED

Which dataset are you using?

from s4.

This has been sorted now .
But now,I am facing another issue
Traceback (most recent call last):███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████ | 394/500 [00:00<00:00, 606.73ex/s]
File "/voyager-volume/state-spaces/train.py", line 548, in main████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▋ | 468/500 [00:00<00:00, 648.01ex/s]
train(config)
File "/voyager-volume/state-spaces/train.py", line 493, in train
trainer.fit(model)
File "/opt/conda/lib/python3.7/site-packages/pytorch_lightning/trainer/trainer.py", line 769, in fit
self._fit_impl, model, train_dataloaders, val_dataloaders, datamodule, ckpt_path
File "/opt/conda/lib/python3.7/site-packages/pytorch_lightning/trainer/trainer.py", line 721, in _call_and_handle_interrupt
return trainer_fn(*args, **kwargs)
File "/opt/conda/lib/python3.7/site-packages/pytorch_lightning/trainer/trainer.py", line 809, in _fit_impl
results = self._run(model, ckpt_path=self.ckpt_path)
File "/opt/conda/lib/python3.7/site-packages/pytorch_lightning/trainer/trainer.py", line 1172, in _run
self._call_setup_hook() # allow user to setup lightning_module in accelerator environment
File "/opt/conda/lib/python3.7/site-packages/pytorch_lightning/trainer/trainer.py", line 1492, in _call_setup_hook
self._call_lightning_module_hook("setup", stage=fn)
File "/opt/conda/lib/python3.7/site-packages/pytorch_lightning/trainer/trainer.py", line 1593, in _call_lightning_module_hook
output = fn(*args, **kwargs)
File "/voyager-volume/state-spaces/train.py", line 74, in setup
self.model = utils.instantiate(registry.model, self.hparams.model)
File "/voyager-volume/state-spaces/src/utils/config.py", line 99, in instantiate
return obj()
TypeError: init() missing 3 required positional arguments: 'd_input', 'd_output', and 'l_output'

Set the environment variable HYDRA_FULL_ERROR=1 for a complete stack trace.
while using unicornn model and listops dataset

from s4.

@albertfgu ,could you please help me this issue ASAP.

from s4.

Resolved through direct correspondence. Baselines such as unicornn have been updated.

from s4.

How was this resolved, I've been facing the same errors?

from s4.

I'm not sure what the resolution was. I was sent a series of confusing emails and then he said it was sorted. It might have been user error.

from s4.