Comments (4)
guillaumekln
commented on May 14, 2024
Can you share the options you used for training? And are you using the latest version of the code?
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wsnooker
commented on May 14, 2024
The training parameter was the default option in project demo. And I switch to release v0.2.0 branch, model conversion worked fine. Maybe I pushed something wrong in the master branch.
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wsnooker
commented on May 14, 2024
I pulled the new master branch and checked again, then tools/release_model.lua failed to convert GPU model to CPU model.
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guillaumekln
commented on May 14, 2024
Do you get the same error with the updated code?
I suspect your model was trained with -brnn and the version of tools/release_model.lua is older than ff48a96.
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Related Issues (20)
- Decoder.lua:446: 'for' limit must be a number HOT 1
- Error when translating with Language Model: "attempt to call method 'forwardOne' (a nil value)" HOT 2
- Meet with lua:446:'for' limit must be a number HOT 2
- Difference between using epoch and train_steps HOT 3
- Difference bteween gnmt and brnn encoder HOT 2
- WriteObject problem, bad argument #1 to 'ipairs' HOT 1
- IDEA: Process FOSS projects .po files for translation corpora
- The engine caches the data in the translation HOT 6
- How to speed up when preprocess the corpus ? HOT 1
- Embeddings: invalid line count HOT 3
- Test BLEU Score HOT 1
- share_embedding option HOT 2
- Better pre-trained PyTorch models
- Maximum length of string processed by the engine HOT 2
- unicode issue for translating Bangla to English HOT 2
- Error BPE tokenizer: tokenize.lua:87: attempt to concatenate upvalue 'line' HOT 3
- Is early stopping available in OpenNMT-py or OpenNMT-tf? HOT 1
- Is `early-stopping` available feature in OpenNMT-tf or OpenNMT-py?
- NMT, What if we do not pass input for decoder? HOT 1
- ModuleNotFoundError: No module named 'onmt.inputters' HOT 1
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