diff --git a/test_tipc/supplementary/readme.md b/test_tipc/supplementary/readme.md
index b630b0f30b23b71c0dd21def2a45fee01023fe82..a378fc5f357d0deb54d5a2de93d8ca6de034fa24 100644
--- a/test_tipc/supplementary/readme.md
+++ b/test_tipc/supplementary/readme.md
@@ -47,6 +47,13 @@ bash test_tipc/test_train_python.sh ./test_tipc/train_infer_python_PACT.txt 'lit
 bash test_tipc/test_train_python.sh ./test_tipc/train_infer_python_FPGM.txt 'lite_train_lite_infer'
 ```
 
+多机多卡的运行配置文件分别为 `train_infer_python_fleet.txt`, `train_infer_python_FPGM_fleet.txt` 和 `train_infer_python_PACT_fleet.txt`。
+运行时，需要修改配置文件中的 `gpu_list:xx.xx.xx.xx,yy.yy.yy.yy;0,1`。 将 `xx.xx.xx.xx` 替换为具体的 `ip` 地址，各个`ip`地址之间用`,`分隔。 另外，和单机训练
+不同，启动多机多卡训练需要在多机的每个节点上分别运行命令。以多机多卡量化训练为例，指令如下：
+```
+bash test_tipc/test_train_python.sh ./test_tipc/train_infer_python_PACT_fleet.txt 'lite_train_lite_infer'
+```
+
 运行相应指令后，在`test_tipc/output`文件夹下自动会保存运行日志。如'lite_train_lite_infer'模式运行后，在test_tipc/extra_output文件夹有以下文件：
 
 ```
diff --git a/test_tipc/supplementary/test_tipc/test_train_python.sh b/test_tipc/supplementary/test_tipc/test_train_python.sh
index f922b57bba7de97d3631524c6f1bd1fac7395e76..ed709c1c4be886d8101e50108ad02714874ea14f 100644
--- a/test_tipc/supplementary/test_tipc/test_train_python.sh
+++ b/test_tipc/supplementary/test_tipc/test_train_python.sh
@@ -35,7 +35,6 @@ use_share_conv_key=$(func_parser_key "${lines[13]}")
 use_share_conv_list=$(func_parser_value "${lines[13]}")
 run_train_py=$(func_parser_value "${lines[14]}")
 
-
 LOG_PATH="./test_tipc/extra_output"
 mkdir -p ${LOG_PATH}
 status_log="${LOG_PATH}/results_python.log"
@@ -98,6 +97,8 @@ if [ ${MODE} = "lite_train_lite_infer" ] || [ ${MODE} = "whole_train_whole_infer
                             cmd="${python} ${run_train_py} ${set_use_gpu}  ${set_save_model}  ${set_epoch}  ${set_pretrain} ${set_checkpoints}  ${set_autocast} ${set_batchsize}  ${set_use_custom_op} ${set_model_type} ${set_use_share_conv} ${set_amp_config}"
                         elif [ ${#ips} -le 26 ];then  # train with multi-gpu
                             cmd="${python} -m paddle.distributed.launch --gpus=${gpu} ${run_train_py} ${set_use_gpu}  ${set_save_model}  ${set_epoch}  ${set_pretrain} ${set_checkpoints}  ${set_autocast} ${set_batchsize}  ${set_use_custom_op} ${set_model_type} ${set_use_share_conv} ${set_amp_config}"
+                        else
+                            cmd="${python} -m paddle.distributed.launch --ips=${ips} --gpus=${gpu} ${run_train_py} ${set_use_gpu}  ${set_save_model}  ${set_epoch}  ${set_pretrain} ${set_checkpoints}  ${set_autocast} ${set_batchsize}  ${set_use_custom_op} ${set_model_type} ${set_use_share_conv} ${set_amp_config}"
                         fi
 
                         # run train
diff --git a/test_tipc/supplementary/test_tipc/train_infer_python_FPGM.txt b/test_tipc/supplementary/test_tipc/train_infer_python_FPGM.txt
index 4c2e28b91e24b34d1bded93cddebe83e0874ae29..ccbd27ffbcb11a0b70f480738186fadf6fc09ded 100644
--- a/test_tipc/supplementary/test_tipc/train_infer_python_FPGM.txt
+++ b/test_tipc/supplementary/test_tipc/train_infer_python_FPGM.txt
@@ -4,9 +4,9 @@ python:python3.7
 gpu_list:0|0,1
 use_gpu:True|True
 AMP.use_amp:True|False
-epoch:lite_train_lite_infer=20|whole_train_whole_infer=1000
+epoch:lite_train_lite_infer=2|whole_train_whole_infer=1000
 save_model_dir:./output/
-TRAIN.batch_size:lite_train_lite_infer=2|whole_train_whole_infer=4
+TRAIN.batch_size:lite_train_lite_infer=1280|whole_train_whole_infer=1280
 pretrained_model:null
 checkpoints:null
 use_custom_relu:False|True
diff --git a/test_tipc/supplementary/test_tipc/train_infer_python_FPGM_fleet.txt b/test_tipc/supplementary/test_tipc/train_infer_python_FPGM_fleet.txt
new file mode 100644
index 0000000000000000000000000000000000000000..be2b2117d732816bb4f2f037e27a866eb8e58f19
--- /dev/null
+++ b/test_tipc/supplementary/test_tipc/train_infer_python_FPGM_fleet.txt
@@ -0,0 +1,17 @@
+===========================train_params===========================
+model_name:ch_PPOCRv2_det
+python:python3.7
+gpu_list:xx.xx.xx.xx,yy.yy.yy.yy;0,1
+use_gpu:True
+AMP.use_amp:True|False
+epoch:lite_train_lite_infer=2|whole_train_whole_infer=1000
+save_model_dir:./output/
+TRAIN.batch_size:lite_train_lite_infer=1280|whole_train_whole_infer=1280
+pretrained_model:null
+checkpoints:null
+use_custom_relu:False|True
+model_type:cls|cls_distill|cls_distill_multiopt
+MODEL.siamese:False|True
+norm_train:train.py -c mv3_large_x0_5.yml -o prune_train=True
+quant_train:False
+prune_train:False
diff --git a/test_tipc/supplementary/test_tipc/train_infer_python_PACT.txt b/test_tipc/supplementary/test_tipc/train_infer_python_PACT.txt
index 079cddf878712b2ba3af3a19f97be3bb5a0896da..24d291b4b3b49ab90fcb2eb3fd2b5ae2ece226e9 100644
--- a/test_tipc/supplementary/test_tipc/train_infer_python_PACT.txt
+++ b/test_tipc/supplementary/test_tipc/train_infer_python_PACT.txt
@@ -4,9 +4,9 @@ python:python3.7
 gpu_list:0|0,1
 use_gpu:True|True
 AMP.use_amp:True|False
-epoch:lite_train_lite_infer=20|whole_train_whole_infer=1000
+epoch:lite_train_lite_infer=2|whole_train_whole_infer=1000
 save_model_dir:./output/
-TRAIN.batch_size:lite_train_lite_infer=2|whole_train_whole_infer=4
+TRAIN.batch_size:lite_train_lite_infer=1280|whole_train_whole_infer=1280
 pretrained_model:null
 checkpoints:null
 use_custom_relu:False|True
diff --git a/test_tipc/supplementary/test_tipc/train_infer_python_PACT_fleet.txt b/test_tipc/supplementary/test_tipc/train_infer_python_PACT_fleet.txt
new file mode 100644
index 0000000000000000000000000000000000000000..93f06d76336efd1ea7fb94fbb0263e569760086f
--- /dev/null
+++ b/test_tipc/supplementary/test_tipc/train_infer_python_PACT_fleet.txt
@@ -0,0 +1,17 @@
+===========================train_params===========================
+model_name:ch_PPOCRv2_det
+python:python3.7
+gpu_list:xx.xx.xx.xx,yy.yy.yy.yy;0,1
+use_gpu:True
+AMP.use_amp:True|False
+epoch:lite_train_lite_infer=2|whole_train_whole_infer=1000
+save_model_dir:./output/
+TRAIN.batch_size:lite_train_lite_infer=1280|whole_train_whole_infer=1280
+pretrained_model:null
+checkpoints:null
+use_custom_relu:False|True
+model_type:cls|cls_distill|cls_distill_multiopt
+MODEL.siamese:False|True
+norm_train:train.py -c mv3_large_x0_5.yml -o quant_train=True
+quant_train:False
+prune_train:False
diff --git a/test_tipc/supplementary/test_tipc/train_infer_python_fleet.txt b/test_tipc/supplementary/test_tipc/train_infer_python_fleet.txt
new file mode 100644
index 0000000000000000000000000000000000000000..00b9e8234bc5140188077f0b447d706603f612b7
--- /dev/null
+++ b/test_tipc/supplementary/test_tipc/train_infer_python_fleet.txt
@@ -0,0 +1,17 @@
+===========================train_params===========================
+model_name:ch_PPOCRv2_det
+python:python3.7
+gpu_list:xx.xx.xx.xx,yy.yy.yy.yy;0,1
+use_gpu:True
+AMP.use_amp:True|False
+epoch:lite_train_lite_infer=2|whole_train_whole_infer=1000
+save_model_dir:./output/
+TRAIN.batch_size:lite_train_lite_infer=1280|whole_train_whole_infer=1280
+pretrained_model:null
+checkpoints:null
+use_custom_relu:False|True
+model_type:cls|cls_distill|cls_distill_multiopt
+MODEL.siamese:False|True
+norm_train: train.py -c mv3_large_x0_5.yml -o
+quant_train:False
+prune_train:False