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Update README with instructions for multi-gpu. #122

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Update README with instructions for multi-gpu. #122

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15 changes: 14 additions & 1 deletion MASS-summarization/README.md
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Expand Up @@ -126,13 +126,26 @@ fairseq-generate $DATADIR --path $MODEL \

## Other questions
1. Q: I have met error like `ModuleNotFouldError: No module named 'mass'` in multi-GPUs or multi-nodes, how to solve it?
A: It seems like a bug in python `multiprocessing/spawn.py`. A direct solution is to move these three files to its corresponding folder in the fairseq. For example:
A: It seems like a bug in python `multiprocessing/spawn.py`. A direct solution is to move these three files to its corresponding folder in the fairseq. For example:
```
# Make sure you clone the release corresponding to MASS required version.
git clone https://github.com/pytorch/fairseq.git --branch v0.8.0.
mv bert_dictionary.py fairseq/fairseq/data/
mv masked_dataset.py fairseq/fairseq/data/
mv learned_positional_embedding.py fairseq/fairseq/modules/

# Make sure those new imports are inserted after the existing ones in __init__.py
modify fairseq/fairseq/data/__init__.py to import the above files.
```

Remember to modify imports in `s2s_model.py, masked_s2s.py, s2s_model.py` to import from `fairseq.data`.
For example in `translation.py`:
```
- from .bert_dictionary import BertDictionary
+ from fairseq.data.bert_dictionary import BertDictionary
```

In order to apply those changes to `fairseq` source you will need to clone. Make sure you clone the tag corresponding to the version required by `MASS`, i.e: `git clone https://github.com/pytorch/fairseq.git --branch v0.8.0`.

<!---
## Training Details
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