Comments (6)
As an alternative, please install k2 from source.
Will upload a version supporting torch 1.10 to conda later today or tomorrow.
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Please also have a look at #162
It does not need torchaudio 0.10.0
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Fangjun, my feeling is that eventually we can use our own RNN-T loss that Kangwei is working with; we could integrate that into k2 as it's faster than the torch one (except for very small inputs). That will give more flexibility regarding torch versions. But of course it's good to have the standard one there for now so we can verify they work the same.
@pkufool let's try to have our own RNN-T loss setup ready quite soon, e.g. the next few days. I think in order to avoid too many things to compile, it might be easiest to just add the code to k2 rather than using the separate repository.
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Ok, I will try to integrate our RNN-T loss to k2 in the following days.
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When I tried to install k2 from source, It works. Thank you.
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Thank you.
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