Open mouseart opened 11 months ago
EmbeddingsPyTorch.ipynb
train_loader = torch.utils.data.DataLoader(train_dataset, batch_size=16, collate_fn=offsetify, shuffle=True) train_epoch_emb(net,train_loader, lr=4, epoch_size=25000)
AttributeError Traceback (most recent call last) /Users/mouseart/OneDrive/book/AI-For-Beginners-Code/lessons/5-NLP/14-Embeddings/EmbeddingsPyTorch.ipynb 单元格 37 line 2 1 train_loader = torch.utils.data.DataLoader(train_dataset, batch_size=16, collate_fn=offsetify, shuffle=True) ----> 2 train_epoch_emb(net,train_loader, lr=4, epoch_size=25000)
/Users/mouseart/OneDrive/book/AI-For-Beginners-Code/lessons/5-NLP/14-Embeddings/EmbeddingsPyTorch.ipynb 单元格 37 line 8 6 net.train() 7 total_loss,acc,count,i = 0,0,0,0 ----> 8 for labels,text,off in dataloader: 9 optimizer.zero_grad() 10 labels,text,off = labels.to(device), text.to(device), off.to(device)
File ~/.pyenv/versions/3.9.7/lib/python3.9/site-packages/torch/utils/data/dataloader.py:633, in _BaseDataLoaderIter.next(self) 630 if self._sampler_iter is None: 631 # TODO(https://github.com/pytorch/pytorch/issues/76750) 632 self._reset() # type: ignore[call-arg] --> 633 data = self._next_data() 634 self._num_yielded += 1 635 if self._dataset_kind == _DatasetKind.Iterable and \ 636 self._IterableDataset_len_called is not None and \ 637 self._num_yielded > self._IterableDataset_len_called:
File ~/.pyenv/versions/3.9.7/lib/python3.9/site-packages/torch/utils/data/dataloader.py:677, in _SingleProcessDataLoaderIter._next_data(self) 675 def _next_data(self): ... ---> 33 stoi = v.get_stoi() 34 stoi_hash[v]=stoi 35 return [stoi.get(s,unk) for s in tokenizer(x)]
AttributeError: 'GloVe' object has no attribute 'get_stoi'
EmbeddingsPyTorch.ipynb
train_loader = torch.utils.data.DataLoader(train_dataset, batch_size=16, collate_fn=offsetify, shuffle=True) train_epoch_emb(net,train_loader, lr=4, epoch_size=25000)AttributeError Traceback (most recent call last) /Users/mouseart/OneDrive/book/AI-For-Beginners-Code/lessons/5-NLP/14-Embeddings/EmbeddingsPyTorch.ipynb 单元格 37 line 2 1 train_loader = torch.utils.data.DataLoader(train_dataset, batch_size=16, collate_fn=offsetify, shuffle=True) ----> 2 train_epoch_emb(net,train_loader, lr=4, epoch_size=25000)
/Users/mouseart/OneDrive/book/AI-For-Beginners-Code/lessons/5-NLP/14-Embeddings/EmbeddingsPyTorch.ipynb 单元格 37 line 8 6 net.train() 7 total_loss,acc,count,i = 0,0,0,0 ----> 8 for labels,text,off in dataloader: 9 optimizer.zero_grad() 10 labels,text,off = labels.to(device), text.to(device), off.to(device)
File ~/.pyenv/versions/3.9.7/lib/python3.9/site-packages/torch/utils/data/dataloader.py:633, in _BaseDataLoaderIter.next(self) 630 if self._sampler_iter is None: 631 # TODO(https://github.com/pytorch/pytorch/issues/76750) 632 self._reset() # type: ignore[call-arg] --> 633 data = self._next_data() 634 self._num_yielded += 1 635 if self._dataset_kind == _DatasetKind.Iterable and \ 636 self._IterableDataset_len_called is not None and \ 637 self._num_yielded > self._IterableDataset_len_called:
File ~/.pyenv/versions/3.9.7/lib/python3.9/site-packages/torch/utils/data/dataloader.py:677, in _SingleProcessDataLoaderIter._next_data(self) 675 def _next_data(self): ... ---> 33 stoi = v.get_stoi() 34 stoi_hash[v]=stoi
35 return [stoi.get(s,unk) for s in tokenizer(x)]
AttributeError: 'GloVe' object has no attribute 'get_stoi'