When the training epoches starts to evaluate, it will raise this Runtime Error. Hope anyone can help me to solve it.
The detail of the error message is below:
line 567, in evaluate
predicted_docs = [self.predict(doc) for doc in tqdm(val_corpus) if len(doc) != 0]
line 567, in
predicted_docs = [self.predict(doc) for doc in tqdm(val_corpus) if len(doc) != 0]
line 596, in predict
spans, probs = self.model(doc)
line 1102, in _call_impl
return forward_call(*input, **kwargs)
line 423, in forward
states, embeds = self.encoder(doc)
line 1102, in _call_impl
return forward_call(*input, **kwargs)
line 205, in forward
packed, reorder = pack(embeds)
line 73, in pack
packed = pack_sequence(sorted_tensors)
line 398, in pack_sequence
return pack_padded_sequence(pad_sequence(sequences), lengths, enforce_sorted=enforce_sorted)
line 363, in pad_sequence
return torch._C._nn.pad_sequence(sequences, batch_first, padding_value)
RuntimeError: received an empty list of sequences
When the training epoches starts to evaluate, it will raise this Runtime Error. Hope anyone can help me to solve it.
The detail of the error message is below:
line 567, in evaluate
predicted_docs = [self.predict(doc) for doc in tqdm(val_corpus) if len(doc) != 0]
line 567, in
predicted_docs = [self.predict(doc) for doc in tqdm(val_corpus) if len(doc) != 0]
line 596, in predict
spans, probs = self.model(doc)
line 1102, in _call_impl
return forward_call(*input, **kwargs)
line 423, in forward
states, embeds = self.encoder(doc)
line 1102, in _call_impl
return forward_call(*input, **kwargs)
line 205, in forward
packed, reorder = pack(embeds)
line 73, in pack
packed = pack_sequence(sorted_tensors)
line 398, in pack_sequence
return pack_padded_sequence(pad_sequence(sequences), lengths, enforce_sorted=enforce_sorted)
line 363, in pad_sequence
return torch._C._nn.pad_sequence(sequences, batch_first, padding_value)
RuntimeError: received an empty list of sequences