PINA/tutorials/tutorial4 0.2 version

[ndem0]

Traceback (most recent call last):
  File "/home/matte_b/PINA/tutorials/tutorial4/tutorial.py", line 517, in <module>
    trainer.train()
  File "/home/matte_b/PINA/pina/trainer.py", line 86, in train
    return super().fit(self.solver,
  File "/home/matte_b/.local/lib/python3.12/site-packages/lightning/pytorch/trainer/trainer.py", line 539, in fit
    call._call_and_handle_interrupt(
  File "/home/matte_b/.local/lib/python3.12/site-packages/lightning/pytorch/trainer/call.py", line 47, in _call_and_handle_interrupt
    return trainer_fn(*args, **kwargs)
   File "/home/matte_b/.local/lib/python3.12/site-packages/lightning/pytorch/trainer/trainer.py", line 575, in _fit_impl
    self._run(model, ckpt_path=ckpt_path)
  File "/home/matte_b/.local/lib/python3.12/site-packages/lightning/pytorch/trainer/trainer.py", line 982, in _run
    results = self._run_stage()
  File "/home/matte_b/.local/lib/python3.12/site-packages/lightning/pytorch/trainer/trainer.py", line 1024, in _run_stage
    self._run_sanity_check()
  File "/home/matte_b/.local/lib/python3.12/site-packages/lightning/pytorch/trainer/trainer.py", line 1053, in _run_sanity_check
    val_loop.run()
  File "/home/matte_b/.local/lib/python3.12/site-packages/lightning/pytorch/loops/utilities.py", line 179, in _decorator
    return loop_run(self, *args, **kwargs)
   File "/home/matte_b/.local/lib/python3.12/site-packages/lightning/pytorch/loops/evaluation_loop.py", line 119, in run
    self.setup_data()
  File "/home/matte_b/.local/lib/python3.12/site-packages/lightning/pytorch/loops/evaluation_loop.py", line 175, in setup_data
    dataloaders = _request_dataloader(source)
  File "/home/matte_b/.local/lib/python3.12/site-packages/lightning/pytorch/trainer/connectors/data_connector.py", line 326, in _request_dataloader
    return data_source.dataloader()
  File "/home/matte_b/.local/lib/python3.12/site-packages/lightning/pytorch/trainer/connectors/data_connector.py", line 293, in dataloader
    return call._call_lightning_datamodule_hook(self.instance.trainer, self.name)
  File "/home/matte_b/.local/lib/python3.12/site-packages/lightning/pytorch/trainer/call.py", line 193, in _call_lightning_datamodule_hook
    return fn(*args, **kwargs)
  File "/home/matte_b/PINA/pina/data/data_module.py", line 246, in val_dataloader
    sampler = PinaBatchSampler(self.val_dataset, batch_size, shuffle=False)
  File "/home/matte_b/.local/lib/python3.12/site-packages/lightning/fabric/utilities/data.py", line 325, in wrapper
    init(obj, *args, **kwargs)
  File "/home/matte_b/PINA/pina/data/data_module.py", line 67, in __init__
    super().__init__(sampler=sampler, batch_size=batch_size,
  File "/home/matte_b/.local/lib/python3.12/site-packages/lightning/fabric/utilities/data.py", line 325, in wrapper
    init(obj, *args, **kwargs)
  File "/home/matte_b/.local/lib/python3.12/site-packages/torch/utils/data/sampler.py", line 323, in __init__
    raise ValueError(
ValueError: batch_size should be a positive integer value, but got batch_size=0