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A Fast Sequence Transducer Implementation with PyTorch Bindings

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Is there any explanation why you didn't implement this part in C++, and instead did it in Python using torch.autograph.Function? @staticmethod def backward(ctx, deltas): ...... lngrads = lngrads * expLNs.reciprocal()...

In current implementation, emissions and the predictions subtract their own maximum values respectively. But consider this case ``` emission[0, 0] = [0, -1000] prediction[0, 0] = [-1000, 0] -> #...

I successfully compiled the source file, but there was a problem when using it. ![1652236811(1)](https://user-images.githubusercontent.com/74249633/167758011-d7dae913-5bc4-459a-94e2-2904989252ba.png)

follow the readme, I got the error about importing error, suggest that there may be a circle import. finally I find a soulution I have to manually copy the _transducer.cpython-xxxx.so...