OpenNMT 玩具示例 (Python3.9) 的问题

如何解决OpenNMT 玩具示例 (Python3.9) 的问题

我最近安装了 opennmt，但在浏览玩具示例时出现以下错误。

我有 macOS Big Sur 11.2.1 我安装了python2.7和python3.9。

pip install --upgrade opennmt-py==2.0.0rc1

wget https://s3.amazonaws.com/opennmt-trainingdata/toy-ende.tar.gz

tar xf toy-ende.tar.gz

cd toy_ende

Traceback (most recent call last):
  File "/Library/Frameworks/Python.framework/Versions/3.9/bin/onmt_build_vocab",line 8,in <module>
    sys.exit(main())
  File "/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/onmt/bin/build_vocab.py",line 63,in main
    build_vocab_main(opts)
  File "/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/onmt/bin/build_vocab.py",line 23,in build_vocab_main
    ArgumentParser.validate_prepare_opts(opts,build_vocab_only=True)
  File "/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/onmt/utils/parse.py",line 127,in validate_prepare_opts
    cls._validate_data(opt)
  File "/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/onmt/utils/parse.py",line 42,in _validate_data
    cls._validate_file(path_src,info=f'{cname}/path_src')
  File "/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/onmt/utils/parse.py",line 18,in _validate_file
    raise IOError(f"Please check path of your {info} file!")
OSError: Please check path of your corpus_1/path_src file!

解决方法

您可以按照以下步骤操作：

message.channel.send(embed).then((m) => {
     m.react('?'); //reacts with ?

     const filter = (reaction,user) => {
         return user.id != 'put bot id here' || user.id === message.author.id && reaction.emoji.name === '?';
     };
     //this filter is to make sure only the user that called the command can react,and the only emoji collected is ?

     m.awaitReactions(filter,{ max: 1,time: 15000,errors: ['time'] })
     .then(collected => {
         if (collected.first().emoji.name === '?') {
             m.channel.send(`:white_check_mark: you reacted with "?"`).then(m => m.delete({ timeout: 3000 }));
             //when the user reacts with ? - this code is executed
         } else {
             //if the user reacts with any other emoji - remove if you dont want this
             m.channel.send(":x: Command cancelled").then(m => m.delete({ timeout: 3000 }));
         };
     })
        .catch(collected => {
            //if the user does not react in time
            m.channel.send(":x: Command cancelled").then(m => m.delete({ timeout: 3000 }));
     });
});

如果您没有 GPU，则需要删除或注释以下几行：

pip install --upgrade OpenNMT-py==2.0.0rc1;
wget https://s3.amazonaws.com/opennmt-trainingdata/toy-ende.tar.gz;
tar xf toy-ende.tar.gz;
echo '## Where the samples will be written
save_data: toy-ende/run/example
## Where the vocab(s) will be written
src_vocab: toy-ende/run/example.vocab.src
tgt_vocab: toy-ende/run/example.vocab.tgt
# Prevent overwriting existing files in the folder
overwrite: False

# Corpus opts:
data:
    corpus_1:
        path_src: toy-ende/src-train.txt
        path_tgt: toy-ende/tgt-train.txt
    valid:
        path_src: toy-ende/src-val.txt
        path_tgt: toy-ende/tgt-val.txt
' > toy_en_de.yaml;
mkdir toy-ende/run;
touch toy-ende/run/example.vocab.src;
touch toy-ende/run/example.vocab.tgt;
onmt_build_vocab -config toy_en_de.yaml -n_sample 10000;

echo '# Vocabulary files that were just created
src_vocab: toy-ende/run/example.vocab.src
tgt_vocab: toy-ende/run/example.vocab.tgt

# Train on a single GPU
world_size: 1
gpu_ranks: [0]

# Where to save the checkpoints
save_model: toy-ende/run/model
save_checkpoint_steps: 500
train_steps: 1000
valid_steps: 500
' >> toy_en_de.yaml;
onmt_train -config toy_en_de.yaml;