fix the bug of benchmark after merge the parakeet, add the condition of using kaldi in aishll s1

examples/aishell/s1/run.sh

 #!/bin/bash
-set -e
 source path.sh
+set -e
 
 stage=0
 stop_stage=100
@@ -46,5 +46,5 @@ fi
  # Optionally, you can add LM and test it with runtime.
  if [ ${stage} -le 6 ] && [ ${stop_stage} -ge 6 ]; then
     # train lm and build TLG
-    ./local/tlg.sh --corpus aishell --lmtype srilm 
+    ./local/tlg.sh --corpus aishell --lmtype srilm
  fi

tests/benchmark/conformer/prepare.sh

-source ../../tools/venv/bin/activate
+source ../../../tools/venv/bin/activate
 
 #Enter the example dir
-pushd ../../examples/aishell/s1
+pushd ../../../examples/aishell/s1
 
 #Prepare the data
 bash run.sh --stage 0 --stop_stage 0

tests/benchmark/conformer/run.sh

@@ -2,9 +2,9 @@
 # 提供可稳定复现性能的脚本，默认在标准docker环境内py37执行： paddlepaddle/paddle:latest-gpu-cuda10.1-cudnn7  paddle=2.1.2  py=37
 # 执行目录：需说明
 CUR_DIR=${PWD}
-source ../../tools/venv/bin/activate
+source ../../../tools/venv/bin/activate
 #cd **
-pushd ../../examples/aishell/s1
+pushd ../../../examples/aishell/s1
 # 1 安装该模型需要的依赖 (如需开启优化策略请注明)
 # 2 拷贝该模型需要数据、预训练模型