tipc: set bs=256 to avoid oom

test_tipc/configs/PPLCNet/PPLCNet_x2_5_train_infer_python.txt

@@ -20,7 +20,7 @@ distill_train:null
 null:null
 null:null
 ##
-===========================eval_params=========================== 
+===========================eval_params===========================
 eval:tools/eval.py -c ppcls/configs/ImageNet/PPLCNet/PPLCNet_x2_5.yaml
 null:null
 ##
@@ -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:512
+batch_size:256
 fp_items:fp32|fp16
 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]}]
+random_infer_input:[{float32,[3,224,224]}]
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