add tipc config3

test_tipc/configs/DPN/DPN68_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:64
+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/DarkNet/DarkNet53_train_amp_infer_python.txt

@@ -1,52 +0,0 @@
-===========================train_params===========================
-model_name:DarkNet53
-python:python3.7
-gpu_list:0|0,1
--o Global.device:gpu
--o Global.auto_cast:null
--o Global.epochs:lite_train_lite_infer=2|whole_train_whole_infer=120
--o Global.output_dir:./output/
--o DataLoader.Train.sampler.batch_size:8
--o Global.pretrained_model:null
-train_model_name:latest
-train_infer_img_dir:./dataset/ILSVRC2012/val
-null:null
-##
-trainer:amp_train
-amp_train:tools/train.py -c ppcls/configs/ImageNet/DarkNet/DarkNet53.yaml -o Global.seed=1234 -o DataLoader.Train.sampler.shuffle=False -o DataLoader.Train.loader.num_workers=0 -o DataLoader.Train.loader.use_shared_memory=False -o AMP.scale_loss=128 -o AMP.use_dynamic_loss_scaling=True -o AMP.level=O2 -o Global.eval_during_train=False -o Global.save_interval=2
-pact_train:null
-fpgm_train:null
-distill_train:null
-null:null
-null:null
-##
-===========================eval_params=========================== 
-eval:tools/eval.py -c ppcls/configs/ImageNet/DarkNet/DarkNet53.yaml
-null:null
-##
-===========================infer_params==========================
--o Global.save_inference_dir:./inference
--o Global.pretrained_model:
-norm_export:tools/export_model.py -c ppcls/configs/ImageNet/DarkNet/DarkNet53.yaml
-quant_export:null
-fpgm_export:null
-distill_export:null
-kl_quant:null
-export2:null
-pretrained_model_url:https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/DarkNet53_pretrained.pdparams
-infer_model:../inference/
-infer_export:True
-infer_quant:Fasle
-inference:python/predict_cls.py -c configs/inference_cls.yaml -o PreProcess.transform_ops.0.ResizeImage.resize_short=292 -o PreProcess.transform_ops.1.CropImage.size=256
--o Global.use_gpu:True|False
--o Global.enable_mkldnn:True|False
--o Global.cpu_num_threads:1|6
--o Global.batch_size:1|16
--o Global.use_tensorrt:True|False
--o Global.use_fp16:True|False
--o Global.inference_model_dir:../inference
--o Global.infer_imgs:../dataset/ILSVRC2012/val
--o Global.save_log_path:null
--o Global.benchmark:True
-null:null
-null:null

test_tipc/configs/DarkNet/DarkNet53_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:64
+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,[3,256,256]}]

test_tipc/configs/EfficientNet/EfficientNetB0_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]}]

test_tipc/configs/MobileNetV2/MobileNetV2_train_infer_python.txt

@@ -54,7 +54,7 @@ null:null
 batch_size:64|128
 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/MobileNetV3/MobileNetV3_small_x0_5_train_infer_python.txt

@@ -49,5 +49,12 @@ inference:python/predict_cls.py -c configs/inference_cls.yaml
 -o Global.save_log_path:null
 -o Global.benchmark:False
 null:null
+===========================train_benchmark_params==========================
+batch_size:512
+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/MobileNetV3/MobileNetV3_small_x1_0_train_infer_python.txt

@@ -49,5 +49,12 @@ inference:python/predict_cls.py -c configs/inference_cls.yaml
 -o Global.save_log_path:null
 -o Global.benchmark:False
 null:null
+===========================train_benchmark_params==========================
+batch_size:512
+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/VGG/VGG16_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:64
+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/Xception/Xception41_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:64
+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,[3,299,299]}]