From 0cf5dfec2c8313fc2ed2aab8d10bf3dc4b9c283f Mon Sep 17 00:00:00 2001
From: 雾聪 <wucong.lyb@alibaba-inc.com>
Date: 星期四, 14 三月 2024 14:41:49 +0800
Subject: [PATCH] update cmakelist
---
examples/aishell/paraformer/run.sh | 42 ++++++++++++++++++++++++++----------------
1 files changed, 26 insertions(+), 16 deletions(-)
diff --git a/examples/aishell/paraformer/run.sh b/examples/aishell/paraformer/run.sh
index 9945132..6200a4a 100755
--- a/examples/aishell/paraformer/run.sh
+++ b/examples/aishell/paraformer/run.sh
@@ -1,12 +1,11 @@
#!/usr/bin/env bash
-
CUDA_VISIBLE_DEVICES="0,1"
# general configuration
feats_dir="../DATA" #feature output dictionary
-exp_dir="."
+exp_dir=`pwd`
lang=zh
token_type=char
stage=0
@@ -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}"
@@ -105,10 +105,12 @@
echo "stage 4: ASR Training"
mkdir -p ${exp_dir}/exp/${model_dir}
- log_file="${exp_dir}/exp/${model_dir}/train.log.txt"
+ current_time=$(date "+%Y-%m-%d_%H-%M")
+ log_file="${exp_dir}/exp/${model_dir}/train.log.txt.${current_time}"
echo "log_file: ${log_file}"
- gpu_num=$(echo CUDA_VISIBLE_DEVICES | awk -F "," '{print NF}')
+ export CUDA_VISIBLE_DEVICES=$CUDA_VISIBLE_DEVICES
+ gpu_num=$(echo $CUDA_VISIBLE_DEVICES | awk -F "," '{print NF}')
torchrun \
--nnodes 1 \
--nproc_per_node ${gpu_num} \
@@ -128,21 +130,21 @@
if [ ${stage} -le 5 ] && [ ${stop_stage} -ge 5 ]; then
echo "stage 5: Inference"
- if ${inference_device} == "cuda"; then
- nj=$(echo CUDA_VISIBLE_DEVICES | awk -F "," '{print NF}')
+ if [ ${inference_device} == "cuda" ]; then
+ nj=$(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-${inference_checkpoint}/${dset}"
_logdir="${inference_dir}/logdir"
+ echo "inference_dir: ${inference_dir}"
mkdir -p "${_logdir}"
data_dir="${feats_dir}/data/${dset}"
@@ -154,8 +156,13 @@
done
utils/split_scp.pl "${key_file}" ${split_scps}
+ gpuid_list_array=(${CUDA_VISIBLE_DEVICES//,/ })
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/${model_dir}" \
--config-name="config.yaml" \
@@ -164,7 +171,10 @@
++frontend_conf.cmvn_file="${feats_dir}/data/${train_set}/am.mvn" \
++input="${_logdir}/keys.${JOB}.scp" \
++output_dir="${inference_dir}/${JOB}" \
- ++device="${inference_device}"
+ ++device="${inference_device}" \
+ ++ncpu=1 \
+ ++disable_log=true \
+ ++batch_size="${inference_batch_size}" &> ${_logdir}/log.${JOB}.txt
}&
done
@@ -180,10 +190,10 @@
done
echo "Computing WER ..."
- cp ${inference_dir}/1best_recog/text ${inference_dir}/1best_recog/text.proc
- cp ${data_dir}/text ${inference_dir}/1best_recog/text.ref
+ python utils/postprocess_text_zh.py ${inference_dir}/1best_recog/text ${inference_dir}/1best_recog/text.proc
+ python utils/postprocess_text_zh.py ${data_dir}/text ${inference_dir}/1best_recog/text.ref
python utils/compute_wer.py ${inference_dir}/1best_recog/text.ref ${inference_dir}/1best_recog/text.proc ${inference_dir}/1best_recog/text.cer
tail -n 3 ${inference_dir}/1best_recog/text.cer
done
-fi
+fi
\ No newline at end of file
--
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