sequence lenght mismatch

[zhoujianch]

Traceback (most recent call last):
File "F:/Python_Projects/HSCRF_NER_pytorch/train.py", line 203, in
evaluator.calc_score(model, dev_dataset_loader)
File "F:\Python_Projects\HSCRF_NER_pytorch\model\evaluator.py", line 181, in calc_score
scrf_result_scored_by_crf = utils.rescored_with_crf(decoded_scrf, self.l_map, ner_model.crf.crf_scores)
File "F:\Python_Projects\HSCRF_NER_pytorch\model\utils.py", line 871, in rescored_with_crf
tg_energy = torch.gather(scores.view(seq_len, bat_size, -1), 2, scrfdata).view(seq_len, bat_size)
RuntimeError: invalid argument 2: Input tensor must have same size as output tensor apart from the specified dimension at c:\users\administrator\downloads\new-builder\win-wheel\pytorch\aten\src\thc\generic/THCTensorScatterGather.cu:29

Process finished with exit code 1

on using crf model to score the prediction of scrf,
file utils.py, in function scrf_to_crf(): after the prediction of scrf is converted crf data, its sequence lenght is not consistent with the sequence lenght of crf model scores. the former = lenght of sentence + 1,but the latter = thresholds[idx].

[ZhixiuYe]

Maybe it's related to Pytorch version. Please try PyTorch 0.3.0.