paraformer batch padding

游雁

2022-12-11 28719e181ad700839c6a344c5ecee12b3559b016

paraformer batch padding

 egs/aishell/paraformer/run.sh

@@ -8,7 +8,7 @@
count=1
gpu_inference=true  # Whether to perform gpu decoding, set false for cpu decoding
# for gpu decoding, inference_nj=ngpu*njob; for cpu decoding, inference_nj=njob
njob=8
njob=1
train_cmd=utils/run.pl
infer_cmd=utils/run.pl

@@ -219,7 +219,7 @@
        fi
        ${infer_cmd} --gpu "${_ngpu}" --max-jobs-run "${_nj}" JOB=1:"${_nj}" "${_logdir}"/asr_inference.JOB.log \
            python -m funasr.bin.asr_inference_launch \
                --batch_size 1 \
                --batch_size 100 \
                --ngpu "${_ngpu}" \
                --njob ${njob} \
                --gpuid_list ${gpuid_list} \

 egs/aishell/paraformerbert/run.sh

@@ -8,7 +8,7 @@
count=1
gpu_inference=true  # Whether to perform gpu decoding, set false for cpu decoding
# for gpu decoding, inference_nj=ngpu*njob; for cpu decoding, inference_nj=njob
njob=8
njob=1
train_cmd=utils/run.pl
infer_cmd=utils/run.pl

@@ -235,7 +235,7 @@
        fi
        ${infer_cmd} --gpu "${_ngpu}" --max-jobs-run "${_nj}" JOB=1:"${_nj}" "${_logdir}"/asr_inference.JOB.log \
            python -m funasr.bin.asr_inference_launch \
                --batch_size 1 \
                --batch_size 100 \
                --ngpu "${_ngpu}" \
                --njob ${njob} \
                --gpuid_list ${gpuid_list} \