remove train benchmark for dsnet

test_tipc/configs/DSNet/DSNet_base_train_infer_python.txt

@@ -50,11 +50,5 @@ 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
-epoch:1
---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/DSNet/DSNet_small_train_infer_python.txt

@@ -50,11 +50,5 @@ 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
-epoch:1
---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/DSNet/DSNet_tiny_train_infer_python.txt

@@ -50,11 +50,5 @@ 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
-epoch:1
---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]}]