RuntimeError: expand(torch.LongTensor{[50, 1]}, size=[50]): the number of sizes provided (1) must be greater or equal to the number of dimensions in the tensor (2)

[zakarianamikaz]

I was trying to run the program by
python3 train_wc.py --gpu -1 --train_file ./data/ner/train.txt --dev_file ./data/ner/testa.txt --test_file ./data/ner/testb.txt --checkpoint ./checkpoint/ner_ --caseless --fine_tune --high_way --co_train --least_iters 100
I got the following error:

embedding size: '400060'
constructing dataset
building model
/usr/local/python3/lib/python3.6/site-packages/torch/nn/modules/rnn.py:38

: UserWarning: dropout option adds dropout after all but last recurrent layer, so non-zero dropout expects num_layers greater than 1, but got dropout=0.55 and num_layers=1
"num_layers={}".format(dropout, num_layers))
/home/yankai/weixiao/LM-LSTM-CRF/model/utils.py:805

: UserWarning: nn.init.uniform is now deprecated in favor of nn.init.uniform_.
nn.init.uniform(input_linear.weight, -bias, bias)
/home/yankai/weixiao/LM-LSTM-CRF/model/utils.py:816

: UserWarning: nn.init.uniform is now deprecated in favor of nn.init.uniform_.
nn.init.uniform(weight, -bias, bias)
/home/yankai/weixiao/LM-LSTM-CRF/model/utils.py:819

: UserWarning: nn.init.uniform is now deprecated in favor of nn.init.uniform_.
nn.init.uniform(weight, -bias, bias)

Tot it 1406 (epoch 0): 0it [00:00, ?it/s]train_wc.py:201
: UserWarning: torch.nn.utils.clip_grad_norm is now deprecated in favor of torch.nn.utils.clip_grad_norm_.
nn.utils.clip_grad_norm(ner_model.parameters(), args.clip_grad)
Traceback (most recent call last):
File "train_wc.py

", line 212, in
dev_f1, dev_pre, dev_rec, dev_acc = evaluator.calc_score(ner_model, dev_dataset_loader)
File "/home/yankai/weixiao/LM-LSTM-CRF/model/evaluator.py

", line 209, in calc_score
decoded = self.decoder.decode(scores.data, mask_v.data)
File "/home/yankai/weixiao/LM-LSTM-CRF/model/crf.py

", line 379, in decode
decode_idx[idx] = pointer
RuntimeError: expand(torch.LongTensor{[50, 1]}, size=[50]): the number of sizes provided (1) must be greater or equal to the number of dimensions in the tensor (2)