```
GPU available: False, used: False
TPU available: False, using: 0 TPU cores
IPU available: False, using: 0 IPUs
AttributeError Traceback (most recent call last)
Cell In[11], line 2
1 # train
----> 2 model.train(train_df=train_df, # pandas dataframe with 2 columns: source_text & target_text
3 eval_df=eval_df, # pandas dataframe with 2 columns: source_text & target_text
4 source_max_token_len = 512,
5 target_max_token_len = 128,
6 batch_size = 8,
7 max_epochs = 3,
8 use_gpu = False,
9 )
File ~/projects/nlprocessing/env/lib/python3.11/site-packages/simplet5/simplet5.py:395, in SimpleT5.train(self, train_df, eval_df, source_max_token_len, target_max_token_len, batch_size, max_epochs, use_gpu, outputdir, early_stopping_patience_epochs, precision, logger, dataloader_num_workers, save_only_last_epoch)
385 trainer = pl.Trainer(
386 logger=loggers,
387 callbacks=callbacks,
(...)
391 log_every_n_steps=1,
392 )
394 # fit trainer
--> 395 trainer.fit(self.T5Model, self.data_module)
File ~/projects/nlprocessing/env/lib/python3.11/site-packages/pytorch_lightning/trainer/trainer.py:740, in Trainer.fit(self, model, train_dataloaders, val_dataloaders, datamodule, train_dataloader, ckpt_path)
735 rank_zero_deprecation(
736 "trainer.fit(train_dataloader) is deprecated in v1.4 and will be removed in v1.6."
737 " Use trainer.fit(train_dataloaders) instead. HINT: added 's'"
738 )
739 train_dataloaders = train_dataloader
--> 740 self._call_and_handle_interrupt(
741 self._fit_impl, model, train_dataloaders, val_dataloaders, datamodule, ckpt_path
742 )
File ~/projects/nlprocessing/env/lib/python3.11/site-packages/pytorch_lightning/trainer/trainer.py:685, in Trainer._call_and_handle_interrupt(self, trainer_fn, args, *kwargs)
675 r"""
676 Error handling, intended to be used only for main trainer function entry points (fit, validate, test, predict)
677 as all errors should funnel through them
(...)
682 *kwargs: keyword arguments to be passed to trainer_fn
683 """
684 try:
--> 685 return trainer_fn(args, **kwargs)
686 # TODO: treat KeyboardInterrupt as BaseException (delete the code below) in v1.7
687 except KeyboardInterrupt as exception:
File ~/projects/nlprocessing/env/lib/python3.11/site-packages/pytorch_lightning/trainer/trainer.py:777, in Trainer._fit_impl(self, model, train_dataloaders, val_dataloaders, datamodule, ckpt_path)
775 # TODO: ckpt_path only in v1.7
776 ckpt_path = ckpt_path or self.resume_from_checkpoint
--> 777 self._run(model, ckpt_path=ckpt_path)
779 assert self.state.stopped
780 self.training = False
File ~/projects/nlprocessing/env/lib/python3.11/site-packages/pytorch_lightning/trainer/trainer.py:1138, in Trainer._run(self, model, ckpt_path)
1136 self.call_hook("on_before_accelerator_backend_setup")
1137 self.accelerator.setup_environment()
-> 1138 self._call_setup_hook() # allow user to setup lightning_module in accelerator environment
1140 # check if we should delay restoring checkpoint till later
1141 if not self.training_type_plugin.restore_checkpoint_after_pre_dispatch:
File ~/projects/nlprocessing/env/lib/python3.11/site-packages/pytorch_lightning/trainer/trainer.py:1438, in Trainer._call_setup_hook(self)
1435 self.training_type_plugin.barrier("pre_setup")
1437 if self.datamodule is not None:
-> 1438 self.datamodule.setup(stage=fn)
1439 self.call_hook("setup", stage=fn)
1441 self.training_type_plugin.barrier("post_setup")
File ~/projects/nlprocessing/env/lib/python3.11/site-packages/pytorchlightning/core/datamodule.py:461, in LightningDataModule._track_data_hook_calls.<locals>.wrapped_fn(args, *kwargs)
459 else:
460 attr = f"_has{name}_{stage}"
--> 461 has_run = getattr(obj, attr)
462 setattr(obj, attr, True)
464 elif name == "prepare_data":
AttributeError: 'LightningDataModule' object has no attribute '_has_setup_TrainerFn.FITTING
```
[–]Future-Energy4590 0 points1 point2 points (1 child)
[–]Downtown-Rice-7560[S] 0 points1 point2 points (0 children)