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Type of dataset attribute: <class 'main.PairedDataset'>
collate_fn is callable.
Length of train dataloader: 35403
Length of validation dataloader: 1563
Length of test dataloader: 313
Is collate_fn callable? True
TypeError Traceback (most recent call last) in <cell line: 74>()
72 print("Is collate_fn callable?", callable(dataloader_train.dataset.collate_fn))
73
---> 74 for it, (images, captions) in enumerate(dataloader_train):
75 try:
76 print("Iteration:", it)
/usr/local/lib/python3.10/dist-packages/torch/utils/data/dataloader.py in _next_data(self)
673 def _next_data(self):
674 index = self._next_index() # may raise StopIteration
--> 675 data = self._dataset_fetcher.fetch(index) # may raise StopIteration
676 if self._pin_memory:
677 data = _utils.pin_memory.pin_memory(data, self._pin_memory_device)
/usr/local/lib/python3.10/dist-packages/torch/utils/data/_utils/fetch.py in fetch(self, possibly_batched_index)
47 if self.auto_collation:
48 if hasattr(self.dataset, "getitems") and self.dataset.getitems:
---> 49 data = self.dataset.getitems(possibly_batched_index)
50 else:
51 data = [self.dataset[idx] for idx in possibly_batched_index]
I ran your test.py file, and printed the gen (generated caption), there are so many captions that are incomplete sentences such as:
I am not sure if this is the case. Cam you please let me know why I am getting many incomplete sentences as generated caption using this model?
Thank you!
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