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pretraining-bea2019's Issues

Inference requires GPU

Inference on even one sentence (with the example code) fails. I used no GPU, and it seems the code doesn't support CPU inference, suppose it is better to note that if that is an expected behaviour.

[2019-10-22 08:57:51] [data] Loading SentencePiece vocabulary from file /cs/snapless/oabend/borgr/UEDIN2019/systems/model.restricted/vocab.spm
[2019-10-22 08:57:51] Error: Curand error 203 - /cs/snapless/oabend/borgr/UEDIN2019/systems/tools/marian-dev/src/tensors/rand.cpp:75: curandCreateGenerator(&generator_, CURAND_RNG_PSEUDO_DEFAULT)
[2019-10-22 08:57:51] Error: Curand error 203 - /cs/snapless/oabend/borgr/UEDIN2019/systems/tools/marian-dev/src/tensors/rand.cpp:75: curandCreateGenerator(&generator_, CURAND_RNG_PSEUDO_DEFAULT)
[2019-10-22 08:57:51] Error: Aborted from marian::CurandRandomGenerator::CurandRandomGenerator(size_t, marian::DeviceId) in /cs/snapless/oabend/borgr/UEDIN2019/systems/tools/marian-dev/src/tensors/rand.cpp:75
Aborted from marian::CurandRandomGenerator::CurandRandomGenerator(size_t, marian::DeviceId) in /cs/snapless/oabend/borgr/UEDIN2019/systems/tools/marian-dev/src/tensors/rand.cpp:75

vocab file must not contain empty lines error

After running the code given following the steps mentioned, getting this error in the test.out.nbest.logs

[2023-02-11 11:35:41] Vocabulary file model.restricted/vocab.spm must not contain empty lines

Updated timeline?

The README suggests that the code would be posted in July. Any updates? Thank you.

The output of the dev and test set

Hi guys,
I fear that I cannot reproduce your impressive results as mentioned in your paper. May I know if your team can share the dev and test set outputs please?
Thank you.

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