Some trouble when running your code

[MrZhengXin]

“Traceback (most recent call last):
File "train.py", line 332, in
main()
File "train.py", line 324, in main
train_model(model, data, optim, i, params)
File "train.py", line 179, in train_model
score = eval_model(model, data, params)
File "train.py", line 252, in eval_model
score[metric] = getattr(utils, metric)(reference, candidate, params['log_path'], params['log'], config)
File "/home/zhengxin/Global-Encoding/Global-Encoding-master/utils/metrics.py", line 58, in rouge
rouge_results = r.convert_and_evaluate()
File "/root/miniconda3/lib/python3.7/site-packages/pyrouge/Rouge155.py", line 361, in convert_and_evaluate
rouge_output = self.evaluate(system_id, rouge_args)
File "/root/miniconda3/lib/python3.7/site-packages/pyrouge/Rouge155.py", line 336, in evaluate
rouge_output = check_output(command).decode("UTF-8")
File "/root/miniconda3/lib/python3.7/subprocess.py", line 389, in check_output
**kwargs).stdout
File "/root/miniconda3/lib/python3.7/subprocess.py", line 466, in run
with Popen(*popenargs, **kwargs) as process:
File "/root/miniconda3/lib/python3.7/subprocess.py", line 769, in init
restore_signals, start_new_session)
File "/root/miniconda3/lib/python3.7/subprocess.py", line 1516, in _execute_child
raise child_exception_type(errno_num, err_msg, err_filename)
PermissionError: [Errno 13] Permission denied: 'RELEASE-1.5.5/ROUGE-1.5.5.pl'”
Tried in several different machine, but get the same mistake, and I'm wondering the reason QwQ.

[Zierzzz]

您好，我想问一下数据的应该是什么样的呢？不是很懂作者说的这句话，是把txt换成src，tgt吗？
Remember to put the data into a folder and name them train.src, train.tgt, valid.src, valid.tgt, test.src and test.tgt, and make a new folder inside called data

[MrZhengXin]

您好，我想问一下数据的应该是什么样的呢？不是很懂作者说的这句话，是把txt换成src，tgt吗？
Remember to put the data into a folder and name them train.src, train.tgt, valid.src, valid.tgt, test.src and test.tgt, and make a new folder inside called data

是的，或者你可以以看一下preprocess.py line 27和 line 29，加上后缀参数

[MrZhengXin]

23333这个问题之前已经解决了，chmod 777 ROUGE-1.5.5.pl就行

[angeluau]

那请问可以把你处理好的saved_data传到我的邮箱吗？[email protected] ,我按着作者所说的处理方式在train的时候报错RuntimeError: Length of all samples has to be greater than 0, but found an element in 'lengths' that is <= 0，另外model里面是不是不需要loss了，我看之前的版本有最近更新之后就没有loss了

[JustinLin610]

那请问可以把你处理好的saved_data传到我的邮箱吗？[email protected] ,我按着作者所说的处理方式在train的时候报错RuntimeError: Length of all samples has to be greater than 0, but found an element in 'lengths' that is <= 0，另外model里面是不是不需要loss了，我看之前的版本有最近更新之后就没有loss了

对，新版本的loss写进模型里了，不需要调单独的loss。你可以检查下是不是数据里面有空行

[huoguo-wan]

Traceback (most recent call last):
File "train.py", line 322, in
main()
File "train.py", line 314, in main
train_model(model, data, optim, i, params)
File "train.py", line 161, in train_model
raise e
File "train.py", line 141, in train_model
loss, outputs = model(src, lengths, dec, targets)
File "/home/anaconda3/lib/python3.7/site-packages/torch/nn/modules/module.py", line 489, in call
result = self.forward(*input, **kwargs)
File "/home/下载/Global-Encoding-master/models/seq2seq.py", line 40, in forward
contexts, state = self.encoder(src, src_len.tolist())
File "/home/anaconda3/lib/python3.7/site-packages/torch/nn/modules/module.py", line 489, in call
result = self.forward(*input, **kwargs)
File "/home/下载/Global-Encoding-master/models/rnn.py", line 52, in forward
embs = pack(self.embedding(inputs), lengths)
File "/home/anaconda3/lib/python3.7/site-packages/torch/nn/utils/rnn.py", line 148, in pack_padded_sequence
return PackedSequence(torch._C._VariableFunctions._pack_padded_sequence(input, lengths, batch_first))
RuntimeError: Length of all samples has to be greater than 0, but found an element in 'lengths' that is <= 0
在train时，报错，请问这个是需要改mini-batch大小吗？

[DaTtoYM]

Traceback (most recent call last):
File "train.py", line 322, in
main()
File "train.py", line 314, in main
train_model(model, data, optim, i, params)
File "train.py", line 119, in train_model
for src, tgt, src_len, tgt_len, original_src, original_tgt in trainloader:
File "/home/mu/.conda/envs/dym/lib/python3.5/site-packages/torch/utils/data/dataloader.py", line 314, in next
batch = self.collate_fn([self.dataset[i] for i in indices])
File "/home/mu/global-encoding/utils/data_helper.py", line 84, in padding
src_pad = torch.zeros(len(src), max(src_len)).long()
RuntimeError: sizes must be non-negative
在train时报错，请问这是什么报错

[JustinLin610]

Traceback (most recent call last):
File "train.py", line 322, in
main()
File "train.py", line 314, in main
train_model(model, data, optim, i, params)
File "train.py", line 161, in train_model
raise e
File "train.py", line 141, in train_model
loss, outputs = model(src, lengths, dec, targets)
File "/home/anaconda3/lib/python3.7/site-packages/torch/nn/modules/module.py", line 489, in call
result = self.forward(*input, **kwargs)
File "/home/下载/Global-Encoding-master/models/seq2seq.py", line 40, in forward
contexts, state = self.encoder(src, src_len.tolist())
File "/home/anaconda3/lib/python3.7/site-packages/torch/nn/modules/module.py", line 489, in call
result = self.forward(*input, **kwargs)
File "/home/下载/Global-Encoding-master/models/rnn.py", line 52, in forward
embs = pack(self.embedding(inputs), lengths)
File "/home/anaconda3/lib/python3.7/site-packages/torch/nn/utils/rnn.py", line 148, in pack_padded_sequence
return PackedSequence(torch._C._VariableFunctions._pack_padded_sequence(input, lengths, batch_first))
RuntimeError: Length of all samples has to be greater than 0, but found an element in 'lengths' that is <= 0
在train时，报错，请问这个是需要改mini-batch大小吗？

是不是里面有空行？

[JustinLin610]

Traceback (most recent call last):
File "train.py", line 322, in
main()
File "train.py", line 314, in main
train_model(model, data, optim, i, params)
File "train.py", line 119, in train_model
for src, tgt, src_len, tgt_len, original_src, original_tgt in trainloader:
File "/home/mu/.conda/envs/dym/lib/python3.5/site-packages/torch/utils/data/dataloader.py", line 314, in next
batch = self.collate_fn([self.dataset[i] for i in indices])
File "/home/mu/global-encoding/utils/data_helper.py", line 84, in padding
src_pad = torch.zeros(len(src), max(src_len)).long()
RuntimeError: sizes must be non-negative
在train时报错，请问这是什么报错

有可能是空行的问题诶