update

嘉渊

2023-04-25 2a3336d9a8a9d74662be805510abdd0a29414ae5

 egs/aishell/conformer/run.sh

@@ -3,7 +3,7 @@
. ./path.sh || exit 1;

# machines configuration
CUDA_VISIBLE_DEVICES="0,1"
CUDA_VISIBLE_DEVICES="2,3"
gpu_num=2
count=1
gpu_inference=true  # Whether to perform gpu decoding, set false for cpu decoding
@@ -13,7 +13,7 @@
infer_cmd=utils/run.pl

# general configuration
feats_dir="../DATA" #feature output dictionary
feats_dir="/nfs/wangjiaming.wjm/Funasr_data/aishell-1-fix-cmvn" #feature output dictionary
exp_dir="."
lang=zh
dumpdir=dump/fbank
@@ -21,7 +21,7 @@
token_type=char
scp=feats.scp
type=kaldi_ark
stage=0
stage=3
stop_stage=4

# feature configuration
@@ -161,7 +161,8 @@
            rank=$i
            local_rank=$i
            gpu_id=$(echo $CUDA_VISIBLE_DEVICES | cut -d',' -f$[$i+1])
            asr_train.py \
            train.py \
                --task_name asr \
                --gpu_id $gpu_id \
                --use_preprocessor true \
                --token_type char \
@@ -177,7 +178,6 @@
                --resume true \
                --output_dir ${exp_dir}/exp/${model_dir} \
                --config $asr_config \
                --input_size $feats_dim \
                --ngpu $gpu_num \
                --num_worker_count $count \
                --multiprocessing_distributed true \
@@ -217,7 +217,7 @@
        if [ -n "${inference_config}" ]; then
            _opts+="--config ${inference_config} "
        fi
        ${infer_cmd} --gpu "${_ngpu}" --max-jobs-run "${_nj}" JOB=1: "${_nj}" "${_logdir}"/asr_inference.JOB.log \
        ${infer_cmd} --gpu "${_ngpu}" --max-jobs-run "${_nj}" JOB=1:"${_nj}" "${_logdir}"/asr_inference.JOB.log \
            python -m funasr.bin.asr_inference_launch \
                --batch_size 1 \
                --ngpu "${_ngpu}" \