update

游雁

2024-02-20 f3c79b4968be8ffd4bedb40baff57d8e70384008

 examples/aishell/paraformer/run.sh

@@ -1,7 +1,6 @@
#!/usr/bin/env bash



CUDA_VISIBLE_DEVICES="0,1"

# general configuration
@@ -18,6 +17,7 @@
inference_device="cuda" #"cpu"
inference_checkpoint="model.pt"
inference_scp="wav.scp"
inference_batch_size=32

# data
raw_data=../raw_data
@@ -39,7 +39,7 @@
valid_set=dev
test_sets="dev test"

config=train_asr_paraformer_conformer_12e_6d_2048_256.yaml
config=paraformer_conformer_12e_6d_2048_256.yaml
model_dir="baseline_$(basename "${config}" .yaml)_${lang}_${token_type}_${tag}"


@@ -129,19 +129,18 @@
  echo "stage 5: Inference"

  if ${inference_device} == "cuda"; then
      nj=$(echo CUDA_VISIBLE_DEVICES | awk -F "," '{print NF}')
      nj=$(echo $CUDA_VISIBLE_DEVICES | awk -F "," '{print NF}')
  else
      nj=$njob
      batch_size=1
      gpuid_list=""
      inference_batch_size=1
      CUDA_VISIBLE_DEVICES=""
      for JOB in $(seq ${nj}); do
          gpuid_list=CUDA_VISIBLE_DEVICES"-1,"
          CUDA_VISIBLE_DEVICES=$CUDA_VISIBLE_DEVICES"-1,"
      done
  fi

  for dset in ${test_sets}; do

    inference_dir="${asr_exp}/${inference_checkpoint}/${dset}"
    inference_dir="${exp_dir}/exp/${model_dir}/${inference_checkpoint}/${dset}"
    _logdir="${inference_dir}/logdir"

    mkdir -p "${_logdir}"
@@ -154,8 +153,13 @@
    done
    utils/split_scp.pl "${key_file}" ${split_scps}

    gpuid_list_array=(${gpuid_list//,/ })
    for JOB in $(seq ${nj}); do
        {
          id=$((JOB-1))
          gpuid=${gpuid_list_array[$id]}

          export CUDA_VISIBLE_DEVICES=${gpuid}
          python ../../../funasr/bin/inference.py \
          --config-path="${exp_dir}/exp/${model_dir}" \
          --config-name="config.yaml" \
@@ -164,7 +168,8 @@
          ++frontend_conf.cmvn_file="${feats_dir}/data/${train_set}/am.mvn" \
          ++input="${_logdir}/keys.${JOB}.scp" \
          ++output_dir="${inference_dir}/${JOB}" \
          ++device="${inference_device}"
          ++device="${inference_device}" \
          ++batch_size="${inference_batch_size}"
        }&

    done