add fleet tests

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

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

test_tipc/supplementary/test_tipc/train_infer_python_FPGM_fleet.txt

+===========================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

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

test_tipc/supplementary/test_tipc/train_infer_python_PACT_fleet.txt

+===========================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

test_tipc/supplementary/test_tipc/train_infer_python_fleet.txt

@@ -12,7 +12,6 @@ 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 
+norm_train: train.py -c mv3_large_x0_5.yml -o
 quant_train:False
 prune_train:False
-