Comments (6)
Hi,
During translation, the memory only increases if the batch size increases or the sentence length increases.
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Can I turn off the caching mechanism? We have a lot of request connections. Frequent cases of low memory.
Now I'm in a situation where the video card memory consumes much more than memory.
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Did you already set this environment variable?
THC_CACHING_ALLOCATOR=0
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Hi @guillaumekln ,
I shouldn't have set it up. Excuse me, how should I do it?
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Try:
THC_CACHING_ALLOCATOR=0 th translate.lua <your options>
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It doesn't look like it has any effect. @guillaumekln
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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
- 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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