From 6427c834dfd97b1f05c6659cdc7ccf010bf82fe1 Mon Sep 17 00:00:00 2001
From: 嘉渊 <wangjiaming.wjm@alibaba-inc.com>
Date: 星期一, 24 四月 2023 19:50:07 +0800
Subject: [PATCH] update

---
 funasr/runtime/python/utils/infer.sh |   19 +++++++++++--------
 1 files changed, 11 insertions(+), 8 deletions(-)

diff --git a/funasr/runtime/python/utils/infer.sh b/funasr/runtime/python/utils/infer.sh
index f5012da..c9a1b77 100644
--- a/funasr/runtime/python/utils/infer.sh
+++ b/funasr/runtime/python/utils/infer.sh
@@ -1,4 +1,9 @@
 
+split_scps_tool=split_scp.pl
+inference_tool=infer.py
+proce_text_tool=proce_text.py
+compute_wer_tool=compute_wer.py
+
 nj=32
 stage=0
 stop_stage=2
@@ -6,16 +11,14 @@
 scp="/nfs/haoneng.lhn/funasr_data/aishell-1/data/test/wav.scp"
 label_text="/nfs/haoneng.lhn/funasr_data/aishell-1/data/test/text"
 export_root="/nfs/zhifu.gzf/export"
-split_scps_tool=split_scp.pl
-inference_tool=infer.py
-proce_text_tool=proce_text.py
-compute_wer_tool=compute_wer.py
+
 
 #:<<!
 model_name="damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch"
 backend="onnx" # "torch"
 quantize='true' # 'False'
-tag=${model_name}/${backend}_quantize_${quantize}
+fallback_op_num_torch=20
+tag=${model_name}/${backend}_quantize_${quantize}_${fallback_op_num_torch}
 !
 
 output_dir=${export_root}/logs/${tag}/split$nj
@@ -25,7 +28,7 @@
 
 if [ $stage -le 0 ] && [ $stop_stage -ge 0 ];then
 
-    python -m funasr.export.export_model --model-name ${model_name} --export-dir ${export_root} --type ${backend} --quantize ${quantize} --audio_in ${scp}
+    python -m funasr.export.export_model --model-name ${model_name} --export-dir ${export_root} --type ${backend} --quantize ${quantize} --audio_in ${scp} --fallback-num ${fallback_op_num_torch}
 
 fi
 
@@ -44,7 +47,7 @@
   for JOB in $(seq ${nj}); do
     {
       core_id=`expr $JOB - 1`
-      taskset -c ${core_id} python ${rtf_tool} --backend ${backend} --model_dir ${model_dir} --wav_file ${output_dir}/wav.$JOB.scp --quantize ${quantize} --output_dir ${output_dir}/${JOB} &> ${output_dir}/log.$JOB.txt
+      taskset -c ${core_id} python ${inference_tool} --backend ${backend} --model_dir ${model_dir} --wav_file ${output_dir}/wav.$JOB.scp --quantize ${quantize} --output_dir ${output_dir}/${JOB} &> ${output_dir}/log.$JOB.txt
     }&
 
   done
@@ -54,7 +57,7 @@
   for f in token text; do
       if [ -f "${output_dir}/1/${f}" ]; then
         for JOB in $(seq "${nj}"); do
-            cat "${output_dir}/${JOB}/1best_recog/${f}"
+            cat "${output_dir}/${JOB}/${f}"
         done | sort -k1 >"${output_dir}/1best_recog/${f}"
       fi
   done

--
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