fix the benchmark

paddlespeech/s2t/training/trainer.py

@@ -245,8 +245,9 @@ class Trainer():
         self.maybe_batch_sampler_step()
 
     def after_train_batch(self):
-        if self.args.benchmark_max_step and self.iteration > self.args.benchmark_max_step:
+        if self.args.benchmark_max_step:
             profiler.add_profiler_step(self.args.profiler_options)
+        if self.args.benchmark_max_step and self.iteration > self.args.benchmark_max_step:
             logger.info(
                 f"Reach benchmark-max-step: {self.args.benchmark_max_step}")
             sys.exit(

tests/benchmark/conformer/prepare.sh

@@ -2,7 +2,7 @@ cd ../../../
 pip install -e .   # 安装pdspeech
 cd -
 #Enter the example dir
-pushd ../../../examples/aishell/s1
+pushd ../../../examples/aishell/asr1
 
 #Prepare the data
 bash run.sh --stage 0 --stop_stage 0

tests/benchmark/conformer/run.sh

@@ -8,7 +8,7 @@ cd ${CUR_DIR}
 sed -i '/set\ -xe/d' run_benchmark.sh
 
 #cd **
-pushd ../../../examples/aishell/s1
+pushd ../../../examples/aishell/asr1
 # 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
 

tests/benchmark/conformer/run_benchmark.sh

 #!/usr/bin/env bash
-set -xe
 # 运行示例：CUDA_VISIBLE_DEVICES=0 bash run_benchmark.sh ${run_mode} ${bs_item} ${fp_item} 500 ${model_mode}
 # 参数说明
 function _set_params(){
@@ -35,13 +34,15 @@ function _set_params(){
 function _train(){
     echo "Train on ${num_gpu_devices} GPUs"
     echo "current CUDA_VISIBLE_DEVICES=$CUDA_VISIBLE_DEVICES, gpus=$num_gpu_devices, batch_size=$batch_size"
-    train_cmd="--config=${config_path}
-               --output=${output}
-               --seed=${seed}
-               --ngpu=${ngpu}
-               --profiler-options "${profiler_options}"
-               --benchmark-batch-size ${batch_size}
-               --benchmark-max-step ${benchmark_max_step} "
+    train_cmd="--config=${config_path} \
+           --output=${output} \
+           --seed=${seed} \
+           --ngpu=${ngpu} \
+           --benchmark-batch-size ${batch_size} \
+           --benchmark-max-step ${benchmark_max_step} "
+    if [ ${profiler_options} != "None" ]; then
+        train_cmd=${train_cmd}" --profiler-options=${profiler_options}"
+    fi
 
     case ${run_mode} in
     sp) train_cmd="python -u ${BIN_DIR}/train.py "${train_cmd} ;;