using simple test for multi decode type

examples/librispeech/s1/local/test.sh

@@ -11,14 +11,8 @@ lmtag=
 recog_set="test-clean test-other dev-clean dev-other"
 recog_set="test-clean"
 
-# bpemode (unigram or bpe)
+if [ $# != 2 ];then
-nbpe=5000
+    echo "usage: ${0} config_path ckpt_path_prefix"
-bpemode=unigram
-bpeprefix="data/bpe_${bpemode}_${nbpe}"
-bpemodel=${bpeprefix}.model
-
-if [ $# != 3 ];then
-    echo "usage: ${0} config_path dict_path ckpt_path_prefix"
     exit -1
 fi
 
@@ -26,8 +20,7 @@ ngpu=$(echo $CUDA_VISIBLE_DEVICES | awk -F "," '{print NF}')
 echo "using $ngpu gpus..."
 
 config_path=$1
-dict=$2
+ckpt_prefix=$2
-ckpt_prefix=$3
 
 chunk_mode=false
 if [[ ${config_path} =~ ^.*chunk_.*yaml$ ]];then
@@ -42,46 +35,46 @@ echo "chunk mode ${chunk_mode}"
 #    exit 1
 #fi
 
-pids=() # initialize pids
 
-for dmethd in attention ctc_greedy_search ctc_prefix_beam_search attention_rescoring; do
+for type in attention ctc_greedy_search; do
-(
+    echo "decoding ${type}"
-    for rtask in ${recog_set}; do
+    if [ ${chunk_mode} == true ];then
-    (
+        # stream decoding only support batchsize=1
-        decode_dir=decode_${rtask}_${dmethd}_$(basename ${config_path%.*})_${lmtag}
-        feat_recog_dir=${datadir}
-        mkdir -p ${expdir}/${decode_dir}
-        mkdir -p ${feat_recog_dir}
-
-        # split data
-        split_json.sh ${feat_recog_dir}/manifest.${rtask} ${nj}
-
-        #### use CPU for decoding
-        ngpu=0
-
-        # set batchsize 0 to disable batch decoding
         batch_size=1
-        ${decode_cmd} JOB=1:${nj} ${expdir}/${decode_dir}/log/decode.JOB.log \
+    else
-            python3 -u ${BIN_DIR}/test.py \
+        batch_size=64
-            --nproc ${ngpu} \
+    fi
-            --config ${config_path} \
+    python3 -u ${BIN_DIR}/test.py \
-            --result_file ${expdir}/${decode_dir}/data.JOB.json \
+    --nproc ${ngpu} \
-            --checkpoint_path ${ckpt_prefix} \
+    --config ${config_path} \
-            --opts decoding.decoding_method ${dmethd} \
+    --result_file ${ckpt_prefix}.${type}.rsl \
-            --opts decoding.batch_size ${batch_size} \
+    --checkpoint_path ${ckpt_prefix} \
-            --opts data.test_manifest ${feat_recog_dir}/split${nj}/JOB/manifest.${rtask}
+    --opts decoding.decoding_method ${type} \
-
+    --opts decoding.batch_size ${batch_size}
-        score_sclite.sh --bpe ${nbpe} --bpemodel ${bpemodel}.model --wer true ${expdir}/${decode_dir} ${dict}
+
-
+    if [ $? -ne 0 ]; then
-    ) &
+        echo "Failed in evaluation!"
-    pids+=($!) # store background pids
+        exit 1
-    done
+    fi
-) &
+done
-pids+=($!) # store background pids
+
+for type in ctc_prefix_beam_search attention_rescoring; do
+    echo "decoding ${type}"
+    batch_size=1
+    python3 -u ${BIN_DIR}/test.py \
+    --nproc ${ngpu} \
+    --config ${config_path} \
+    --result_file ${ckpt_prefix}.${type}.rsl \
+    --checkpoint_path ${ckpt_prefix} \
+    --opts decoding.decoding_method ${type} \
+    --opts decoding.batch_size ${batch_size}
+
+    if [ $? -ne 0 ]; then
+        echo "Failed in evaluation!"
+        exit 1
+    fi
 done
 
-i=0; for pid in "${pids[@]}"; do wait ${pid} || ((++i)); done
-[ ${i} -gt 0 ] && echo "$0: ${i} background jobs are failed." && false
 echo "Finished"
 
 exit 0