fix: adapt multi-scale sampler

test_tipc/config/PPLCNetV2/PPLCNetV2_base_train_infer_python.txt

@@ -6,14 +6,14 @@ gpu_list:0|0,1
 -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 DataLoader.Train.sampler.first_bs:8
 -o Global.pretrained_model:null
 train_model_name:latest
 train_infer_img_dir:./dataset/ILSVRC2012/val
 null:null
 ##
 trainer:norm_train
-norm_train:tools/train.py -c ppcls/configs/ImageNet/PPLCNetV2/PPLCNetV2_base.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
+norm_train:tools/train.py -c ppcls/configs/ImageNet/PPLCNetV2/PPLCNetV2_base.yaml -o Global.seed=1234 -o DataLoader.Train.loader.num_workers=0 -o DataLoader.Train.loader.use_shared_memory=False
 pact_train:null
 fpgm_train:null
 distill_train:null