collect and process seperately

onnxruntime/python/tools/transformers/models/llama2/llama2_config.sh

@@ -8,19 +8,19 @@ LOGFILE=$MODEL_NAME.log
 
 export ROCBLAS_LAYER=2
 bash sample_run.sh $N_GPU --optimize --merge --custom-gen --benchmark --ort 2>&1 | tee ${MODEL_NAME}_rocblas_configs.log
-sed -i '/\[[0-9]+,[0-9]+\]<stderr>:/d' ${MODEL_NAME}_rocblas_configs.log
+sed -i -E 's/\[[0-9]*,[0-9]*\]<std(out|err)>://g' ${MODEL_NAME}_rocblas_configs.log
 grep -o "rocblas-bench.*" ${MODEL_NAME}_rocblas_configs.log | sort -u &> unique_rocblas_configs_$MODEL_NAME.log
 unset ROCBLAS_LAYER
 
 export MIOPEN_ENABLE_LOGGING_CMD=1
 bash sample_run.sh $N_GPU --optimize --merge --custom-gen --benchmark --ort 2>&1 | tee ${MODEL_NAME}_miopen_configs.log
-sed -i '/\[[0-9]+,[0-9]+\]<stderr>:/d' ${MODEL_NAME}_miopen_configs.log
+sed -i -E 's/\[[0-9]*,[0-9]*\]<std(out|err)>://g' ${MODEL_NAME}_miopen_configs.log
 grep "MIOpenDriver " ${MODEL_NAME}_miopen_configs.log | sed -e 's/.*]//' | sort -u &> unique_miopen_configs_$MODEL_NAME.log
 unset MIOPEN_ENABLE_LOGGING_CMD
 
 export TENSILE_DB=0x8000  # dump Tensile kernel names
 bash sample_run.sh $N_GPU --optimize --merge --custom-gen --benchmark --ort 2>&1 | tee ${MODEL_NAME}_tensile_configs.log
-sed -i '/\[[0-9]+,[0-9]+\]<stderr>:/d' 
+sed -i -E 's/\[[0-9]*,[0-9]*\]<std(out|err)>://g' ${MODEL_NAME}_tensile_configs.log
 grep "Running kernel: " ${MODEL_NAME}_tensile_configs.log | sort -u &> unique_kernel_names_$MODEL_NAME.log
 unset TENSILE_DB