运行 ./test.sh 时报 RuntimeError: value cannot be converted to type uint8_t without overflow: -1 about sltk HOT 3 CLOSED

from sltk.

还是不行，报了另外一个错

Traceback (most recent call last):
File "../test.py", line 77, in
targets_list = sl_model.predict(sample_batched)
File "/xunku/SLTK-master/TorchNN/layers/bilstm_crf.py", line 106, in predict
path_score, best_paths = self.crf(lstm_feats, mask)
File "/usr/local/lib/python3.5/dist-packages/torch/nn/modules/module.py", line 357, in call
result = self.forward(*input, **kwargs)
File "/xunku/SLTK-master/TorchNN/layers/crf.py", line 183, in forward
path_score, best_path = self._viterbi_decode(feats, mask)
File "/xunku/SLTK-master/TorchNN/layers/crf.py", line 146, in _viterbi_decode
partition_history = torch.cat(partition_history).view(
RuntimeError: invalid argument 0: Tensors must have same number of dimensions: got 3 and 2 at /pytorch/torch/lib/TH/generic/THTensorMath.c:2888

from sltk.

我知道原因了。
line 134 partition_history.append(partition) 加进去的 partition 的 rank 是3，最后一维的 dim 是1
line 140 加进去的 partition 的 rank 是2。也就是说 partition, cur_bp = torch.max(cur_values, 1) 产生的 partition 的 rank 是2.

我的torch 是0.3.0, 不知道和版本有关系没有。

from sltk.