diff --git a/PyTorch/contrib/cv/detection/FSAF_for_Pytorch/calc_fps.py b/PyTorch/contrib/cv/detection/FSAF_for_Pytorch/calc_fps.py
new file mode 100644
index 0000000000000000000000000000000000000000..8302ba725f40aa93c0dc2faa8f92f9f95e897d9a
--- /dev/null
+++ b/PyTorch/contrib/cv/detection/FSAF_for_Pytorch/calc_fps.py
@@ -0,0 +1,40 @@
+# Copyright 2021 Huawei Technologies Co., Ltd
+#
+# Licensed under the BSD 3-Clause License  (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# https://opensource.org/licenses/BSD-3-Clause
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+import json
+import sys
+
+f = open(sys.argv[1], 'r')
+gpu_nums = int(sys.argv[2])
+batch_size = int(sys.argv[3])
+
+epoch = 0
+cnt = 0
+fps = 0
+total_fps = 0
+for data in f:
+    line = json.loads(data)
+    if not 'mode' in line:
+        pass
+    elif line['mode'] == 'train':
+        # ignore first 50 iters
+        if line['iter'] > 50:
+            cnt = cnt + 1
+            fps = fps + gpu_nums * batch_size / line['time']
+    elif line['mode'] == 'val':
+        epoch = epoch + 1
+        print({'epoch': epoch, 'fps': fps / cnt})
+        total_fps = total_fps + fps / cnt
+        cnt = 0
+        fps = 0
+print({'fps': total_fps / epoch})
diff --git a/PyTorch/contrib/cv/detection/FSAF_for_Pytorch/test/train_full_8p.sh b/PyTorch/contrib/cv/detection/FSAF_for_Pytorch/test/train_full_8p.sh
index 47fce779e66645b545dec1660fa6a2c186365aae..a2e0ef672a00d1695aec6bf34f68c0824d01e6f3 100644
--- a/PyTorch/contrib/cv/detection/FSAF_for_Pytorch/test/train_full_8p.sh
+++ b/PyTorch/contrib/cv/detection/FSAF_for_Pytorch/test/train_full_8p.sh
@@ -64,7 +64,7 @@ etp_flag=`echo ${check_etp_flag#*=}`
 if [ x"${etp_flag}" != x"true" ];then
     source ../test/env_npu.sh
 fi
-python3.7 ./tools/train.py ./configs/fsaf/fsaf_r50_fpn_1x_coco.py 8 > ${test_path_dir}/output/${ASCEND_DEVICE_ID}/train_${ASCEND_DEVICE_ID}.log 2>&1 &
+PORT=29888 ./tools/dist_train.sh ./configs/fsaf/fsaf_r50_fpn_1x_coco.py 8 > ${test_path_dir}/output/${ASCEND_DEVICE_ID}/train_${ASCEND_DEVICE_ID}.log 2>&1 &
 
 wait
 
diff --git a/PyTorch/contrib/cv/detection/FSAF_for_Pytorch/test/train_performance_8p.sh b/PyTorch/contrib/cv/detection/FSAF_for_Pytorch/test/train_performance_8p.sh
index 8b0faa1eceb329090caebf7af51373f2306952ed..0ce29eb52ae9696082da3254ae8b5be901246337 100644
--- a/PyTorch/contrib/cv/detection/FSAF_for_Pytorch/test/train_performance_8p.sh
+++ b/PyTorch/contrib/cv/detection/FSAF_for_Pytorch/test/train_performance_8p.sh
@@ -68,7 +68,7 @@ etp_flag=`echo ${check_etp_flag#*=}`
 if [ x"${etp_flag}" != x"true" ];then
     source ../test/env_npu.sh
 fi
-python3.7 ./tools/train.py ./configs/fsaf/fsaf_r50_fpn_1x_coco.py 8 > ${test_path_dir}/output/${ASCEND_DEVICE_ID}/train_${ASCEND_DEVICE_ID}.log 2>&1 &
+PORT=29888 ./tools/dist_train.sh ./configs/fsaf/fsaf_r50_fpn_1x_coco.py 8 > ${test_path_dir}/output/${ASCEND_DEVICE_ID}/train_${ASCEND_DEVICE_ID}.log 2>&1 &
 
 wait