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Right now, we assume that the log likelihoods provided as input to the cuda decoder are created by the per-thread default stream.
This is always true for kaldi, and true by default in pytorch, but we shouldn't rely on it.
https://github.com/galv/kaldi/blob/8b8607204e754f3892416bf1d3297a7793e4a849/src/cudadecoder/cuda-decoder.cc#L874-L877
The text was updated successfully, but these errors were encountered:
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Right now, we assume that the log likelihoods provided as input to the cuda decoder are created by the per-thread default stream.
This is always true for kaldi, and true by default in pytorch, but we shouldn't rely on it.
https://github.com/galv/kaldi/blob/8b8607204e754f3892416bf1d3297a7793e4a849/src/cudadecoder/cuda-decoder.cc#L874-L877
The text was updated successfully, but these errors were encountered: