fix: -> DistributedBatchSampler

ppcls/configs/ImageNet/SENet/SE_ResNeXt101_32x4d_amp_O2_ultra.yaml

@@ -15,6 +15,13 @@ Global:
   image_shape: [*image_channel, 224, 224]
   save_inference_dir: ./inference
 
+# mixed precision training
+AMP:
+  scale_loss: 128.0
+  use_dynamic_loss_scaling: True
+  # O2: pure fp16
+  level: O2
+
 # model architecture
 Arch:
   name: SE_ResNeXt101_32x4d
@@ -32,13 +39,6 @@ Loss:
     - CELoss:
         weight: 1.0
 
-# mixed precision training
-AMP:
-  scale_loss: 128.0
-  use_dynamic_loss_scaling: True
-  # O2: pure fp16
-  level: O2
-
 Optimizer:
   name: Momentum
   momentum: 0.9
@@ -102,7 +102,7 @@ DataLoader:
             output_fp16: True
             channel_num: *image_channel
     sampler:
-      name: BatchSampler
+      name: DistributedBatchSampler
       batch_size: 64
       drop_last: False
       shuffle: False