add tipc config5

test_tipc/configs/MobileViT/MobileViT_S_train_infer_python.txt

@@ -52,9 +52,9 @@ null:null
 null:null
 ===========================train_benchmark_params==========================
 batch_size:128
-fp_items:fp32
+fp_items:fp32|fp16
 epoch:1
-model_type:norm_train
+model_type:norm_train|to_static_train
 --profiler_options:batch_range=[10,20];state=GPU;tracer_option=Default;profile_path=model.profile
 flags:FLAGS_eager_delete_tensor_gb=0.0;FLAGS_fraction_of_gpu_memory_to_use=0.98;FLAGS_conv_workspace_size_limit=4096
 ===========================infer_benchmark_params==========================

test_tipc/configs/PPLCNet/PPLCNet_x0_75_train_infer_python.txt

@@ -53,7 +53,7 @@ null:null
 batch_size:512
 fp_items:fp32|fp16
 epoch:1
-model_type:norm_train
+model_type:norm_train|to_static_train
 --profiler_options:batch_range=[10,20];state=GPU;tracer_option=Default;profile_path=model.profile
 flags:FLAGS_eager_delete_tensor_gb=0.0;FLAGS_fraction_of_gpu_memory_to_use=0.98;FLAGS_conv_workspace_size_limit=4096
 ===========================infer_benchmark_params==========================

test_tipc/configs/PPLCNet/PPLCNet_x1_0_train_infer_python.txt

@@ -53,7 +53,7 @@ null:null
 batch_size:512
 fp_items:fp32|fp16
 epoch:1
-model_type:norm_train
+model_type:norm_train|to_static_train
 --profiler_options:batch_range=[10,20];state=GPU;tracer_option=Default;profile_path=model.profile
 flags:FLAGS_eager_delete_tensor_gb=0.0;FLAGS_fraction_of_gpu_memory_to_use=0.98;FLAGS_conv_workspace_size_limit=4096
 ===========================infer_benchmark_params==========================

test_tipc/configs/PPLCNet/PPLCNet_x2_5_train_infer_python.txt

@@ -50,10 +50,10 @@ inference:python/predict_cls.py -c configs/inference_cls.yaml
 -o Global.benchmark:False
 null:null
 ===========================train_benchmark_params==========================
-batch_size:256
+batch_size:512
 fp_items:fp32|fp16
 epoch:1
-model_type:norm_train
+model_type:norm_train|to_static_train
 --profiler_options:batch_range=[10,20];state=GPU;tracer_option=Default;profile_path=model.profile
 flags:FLAGS_eager_delete_tensor_gb=0.0;FLAGS_fraction_of_gpu_memory_to_use=0.98;FLAGS_conv_workspace_size_limit=4096
 ===========================infer_benchmark_params==========================

test_tipc/configs/PVTV2/PVT_V2_B2_Linear_train_infer_python.txt

@@ -52,9 +52,9 @@ null:null
 null:null
 ===========================train_benchmark_params==========================
 batch_size:128
-fp_items:fp32
+fp_items:fp32|fp16
 epoch:1
-model_type:norm_train
+model_type:norm_train|to_static_train
 --profiler_options:batch_range=[10,20];state=GPU;tracer_option=Default;profile_path=model.profile
 flags:FLAGS_eager_delete_tensor_gb=0.0;FLAGS_fraction_of_gpu_memory_to_use=0.98;FLAGS_conv_workspace_size_limit=4096
 ===========================infer_benchmark_params==========================

test_tipc/configs/PVTV2/PVT_V2_B2_train_infer_python.txt

@@ -50,5 +50,12 @@ inference:python/predict_cls.py -c configs/inference_cls.yaml -o PreProcess.tran
 -o Global.benchmark:False
 null:null
 null:null
+===========================train_benchmark_params==========================
+batch_size:128
+fp_items:fp32|fp16
+epoch:1
+model_type:norm_train|to_static_train
+--profiler_options:batch_range=[10,20];state=GPU;tracer_option=Default;profile_path=model.profile
+flags:FLAGS_eager_delete_tensor_gb=0.0;FLAGS_fraction_of_gpu_memory_to_use=0.98;FLAGS_conv_workspace_size_limit=4096
 ===========================infer_benchmark_params==========================
 random_infer_input:[{float32,[3,224,224]}]

test_tipc/configs/SwinTransformer/SwinTransformer_base_patch4_window7_224_train_infer_python.txt

@@ -50,5 +50,12 @@ inference:python/predict_cls.py -c configs/inference_cls.yaml
 -o Global.benchmark:False
 null:null
 null:null
+===========================train_benchmark_params==========================
+batch_size:128
+fp_items:fp32|fp16
+epoch:1
+model_type:norm_train|to_static_train
+--profiler_options:batch_range=[10,20];state=GPU;tracer_option=Default;profile_path=model.profile
+flags:FLAGS_eager_delete_tensor_gb=0.0;FLAGS_fraction_of_gpu_memory_to_use=0.98;FLAGS_conv_workspace_size_limit=4096
 ===========================infer_benchmark_params==========================
-random_infer_input:[{float32,[3,224,224]}]
+random_infer_input:[{float32,[3,224,224]}]