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I tried hlg decoding using both hlg_decode.cu and hlg_decode.py, modified them a bit to get nbest from the lattice. The python api seems fine but i got OOM when using c++ api. As i know, python api is still c++ under the hood. So I wonder if you all face the same issue as mine, that the c++ api use a lot more memory than python api, or I installed k2 incorrectly in some ways. Please help me with this.
Model: librispeech conformer ctc
Code:
python: hlg_decode.py.txt
c++: hlg_decode.cu.txt
Audio (change ext to .wav): testvram.txt
Thanks in advance!
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