Scoring translation/references with log-likelihood in opennmt-py

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1

Hi,

I am aware of the scoring functions provided in the tf version which can be used to score a sentencepair with log-likelihood given a trained model as on the following page

https://opennmt.net/OpenNMT-tf/inference.html#scoring

onmt-main \
    --config config/my_config.yml --auto_config \
    score
    --features_file newstest2014.en.tok \
    --predictions_file newstest2014.en.tok.out

Is there a similar feature available also with opennmt-py. I couldn’t find. Please help.

Thanks