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Resolve issues with shared memory on new torch versions #15

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@Roo4L Roo4L commented Dec 11, 2022

Since 1.6.0 torch requires explicit transitions of tensors between cpu and gpu memory, resulting in errors during training. Add explicit conversions to make model compatible with newer pytorch versions.

Since 1.6.0 torch requires explicit transitions of tensors between cpu and
gpu memory, resulting in errors during training. Add explicit conversions
to make model compatible with newer pytorch versions.
Predict module haven't handled the word mode of model. Fix it by correctly
parsing input sentence if it starts with '[', expecting  that it is a json
list.
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