在运行test模式，BertAbs模型时，遇到了RuntimeError: "index_select_out_cuda_impl" not implemented for 'Float'

[Dengguty]

请问有人遇到这个问题吗？
在解码的时候出现的问题，select_indices应该是整数类型的，但是debug发现是float，将其select_indices转为long型后，运行就一直卡住了，不出测试结果

python train.py -task abs -mode test -test_from ../models/abs/model_step_8000.pt -batch_size 3000 -test_batch_size 500 -bert_data_path ../bert_data/bert.pt_data -log_file ../logs/test_abs -model_path ../models/abs -sep_optim true -use_interval true -visible_gpus 0 -max_pos 512 -max_length 200 -alpha 0.95 -min_length 50 -result_path ../logs/abs

Traceback (most recent call last):
File "train.py", line 135, in
test_abs(args, device_id, cp, step)
File "/home/t-kasanishi/PreSumm/src/train_abstractive.py", line 225, in test_abs
predictor.translate(test_iter, step)
File "/home/t-kasanishi/PreSumm/src/models/predictor.py", line 149, in translate
batch_data = self.translate_batch(batch)
File "/home/t-kasanishi/PreSumm/src/models/predictor.py", line 218, in translate_batch
min_length=self.min_length)
File "/home/t-kasanishi/PreSumm/src/models/predictor.py", line 333, in _fast_translate_batch
[alive_seq.index_select(0, select_indices),
RuntimeError: "index_select_out_cuda_impl" not implemented for 'Float'

[Dengguty]

我的torch版本是1.8，不知道是不是和torch版本的原因