Skip to content
This repository was archived by the owner on Apr 2, 2025. It is now read-only.

MisconfigurationException: train_dataloader must be implemented to be used with the Lightning Trainer #14

@famube

Description

@famube

Hi,
I tried to run jerex_train.py in a Kaggle environment using the default configurations (except distribution.gpus=[0] distribution.prepare_data_per_node=true, the latter due to a conflict error with DataModule configuration), and got the following error:

Error executing job with overrides: ['distribution.gpus=[0]', 'distribution.prepare_data_per_node=true']
Traceback (most recent call last):
  File "jerex_train.py", line 20, in train
    model.train(cfg)
  File "/kaggle/working/jerex/model.py", line 341, in train
    trainer.fit(model, datamodule=data_module)
  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 1215, in _run
    self.strategy.setup(self)
  File "/opt/conda/lib/python3.7/site-packages/pytorch_lightning/strategies/single_device.py", line 72, in setup
    super().setup(trainer)
  File "/opt/conda/lib/python3.7/site-packages/pytorch_lightning/strategies/strategy.py", line 139, in setup
    self.setup_optimizers(trainer)
  File "/opt/conda/lib/python3.7/site-packages/pytorch_lightning/strategies/strategy.py", line 129, in setup_optimizers
    self.lightning_module
  File "/opt/conda/lib/python3.7/site-packages/pytorch_lightning/core/optimizer.py", line 180, in _init_optimizers_and_lr_schedulers
    optim_conf = model.trainer._call_lightning_module_hook("configure_optimizers", pl_module=model)
  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 "/kaggle/working/jerex/model.py", line 194, in configure_optimizers
    dataloader = self.train_dataloader()
  File "/opt/conda/lib/python3.7/site-packages/pytorch_lightning/core/hooks.py", line 494, in train_dataloader
    raise MisconfigurationException("`train_dataloader` must be implemented to be used with the Lightning Trainer")
pytorch_lightning.utilities.exceptions.MisconfigurationException: `train_dataloader` must be implemented to be used with the Lightning Trainer

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

Metadata

Metadata

Assignees

No one assigned

    Labels

    No labels
    No labels

    Type

    No type

    Projects

    No projects

    Milestone

    No milestone

    Relationships

    None yet

    Development

    No branches or pull requests

    Issue actions