association-rosia / vesuvius-challenge Goto Github PK

File "/kaggle/working/vesuvius-challenge-ink-detection/src/models/make_train.py", line 144, in
main()
File "/kaggle/working/vesuvius-challenge-ink-detection/src/models/make_train.py", line 25, in main
trainer.fit(model=model, train_dataloaders=train_dataloader, val_dataloaders=val_dataloader)
File "/opt/conda/lib/python3.10/site-packages/pytorch_lightning/trainer/trainer.py", line 520, in fit
call._call_and_handle_interrupt(
File "/opt/conda/lib/python3.10/site-packages/pytorch_lightning/trainer/call.py", line 44, in _call_and_handle_interrupt
return trainer_fn(*args, **kwargs)
File "/opt/conda/lib/python3.10/site-packages/pytorch_lightning/trainer/trainer.py", line 559, in _fit_impl
self._run(model, ckpt_path=ckpt_path)
File "/opt/conda/lib/python3.10/site-packages/pytorch_lightning/trainer/trainer.py", line 935, in _run
results = self._run_stage()
File "/opt/conda/lib/python3.10/site-packages/pytorch_lightning/trainer/trainer.py", line 976, in _run_stage
self._run_sanity_check()
File "/opt/conda/lib/python3.10/site-packages/pytorch_lightning/trainer/trainer.py", line 1005, in _run_sanity_check
val_loop.run()
File "/opt/conda/lib/python3.10/site-packages/pytorch_lightning/loops/utilities.py", line 177, in _decorator
return loop_run(self, *args, **kwargs)
File "/opt/conda/lib/python3.10/site-packages/pytorch_lightning/loops/evaluation_loop.py", line 115, in run
self._evaluation_step(batch, batch_idx, dataloader_idx)
File "/opt/conda/lib/python3.10/site-packages/pytorch_lightning/loops/evaluation_loop.py", line 375, in _evaluation_step
output = call._call_strategy_hook(trainer, hook_name, *step_kwargs.values())
File "/opt/conda/lib/python3.10/site-packages/pytorch_lightning/trainer/call.py", line 288, in _call_strategy_hook
output = fn(*args, **kwargs)
File "/opt/conda/lib/python3.10/site-packages/pytorch_lightning/strategies/strategy.py", line 378, in validation_step
return self.model.validation_step(*args, **kwargs)
File "/kaggle/working/vesuvius-challenge-ink-detection/src/models/lightning.py", line 50, in validation_step
outputs = self.forward(images)
File "/kaggle/working/vesuvius-challenge-ink-detection/src/models/lightning.py", line 38, in forward
x = self.pytorch_model(inputs)
File "/opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "/kaggle/working/vesuvius-challenge-ink-detection/src/models/unet3d.py", line 114, in forward
x = self.decoder(x, list_skips)
File "/opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "/kaggle/working/vesuvius-challenge-ink-detection/src/models/unet3d.py", line 84, in forward
x = decoderblock(x, skip)
File "/opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "/kaggle/working/vesuvius-challenge-ink-detection/src/models/unet3d.py", line 67, in forward
x = torch.cat([x, skip], dim=1)
RuntimeError: Sizes of tensors must match except in dimension 1. Expected size 2 but got size 3 for tensor number 1 in the list.