[cherry-pick] fix some configs (#7770)

configs/fcos/fcos_r50_fpn_iou_1x_coco.yml

@@ -12,7 +12,7 @@ weights: output/fcos_r50_fpn_iou_1x_coco/model_final
 TrainReader:
   sample_transforms:
     - Decode: {}
-    - RandomResize: {target_size: [[640, 1333], [672, 1333], [704, 1333], [736, 1333], [768, 1333], [800, 1333]], keep_ratio: True, interp: 1}
+    - Resize: {target_size: [800, 1333], keep_ratio: True, interp: 1}
     - NormalizeImage: {mean: [0.485, 0.456, 0.406], std: [0.229, 0.224, 0.225], is_scale: True}
     - RandomFlip: {}
   batch_transforms:
@@ -26,6 +26,7 @@ TrainReader:
   batch_size: 2
   shuffle: True
   drop_last: True
+  use_shared_memory: True
 
 
 EvalReader:

configs/fcos/fcos_r50_fpn_iou_multiscale_2x_coco.yml

@@ -25,6 +25,7 @@ TrainReader:
   batch_size: 2
   shuffle: True
   drop_last: True
+  use_shared_memory: True
 
 
 EvalReader:

configs/fcos/fcos_r50_fpn_multiscale_2x_coco.yml

@@ -25,6 +25,7 @@ TrainReader:
   batch_size: 2
   shuffle: True
   drop_last: True
+  use_shared_memory: True
 
 epoch: 24
 

configs/slim/distill/ppyoloe_plus_distill_l_distill_m.yml

@@ -43,6 +43,8 @@ DistillPPYOLOELoss: # L -> M
   loss_weight: {'logits': 4.0, 'feat': 1.0}
   logits_distill: True
   logits_loss_weight: {'class': 1.0, 'iou': 2.5, 'dfl': 0.5}
+  logits_ld_distill: True
+  logits_ld_params: {'weight': 20000, 'T': 10}
   feat_distill: True
   feat_distiller: 'fgd' # ['cwd', 'fgd', 'pkd', 'mgd', 'mimic']
   feat_distill_place: 'neck_feats'

configs/slim/distill/ppyoloe_plus_distill_x_distill_l.yml

@@ -43,6 +43,8 @@ DistillPPYOLOELoss: # X -> L
   loss_weight: {'logits': 4.0, 'feat': 1.0}
   logits_distill: True
   logits_loss_weight: {'class': 1.0, 'iou': 2.5, 'dfl': 0.5}
+  logits_ld_distill: True
+  logits_ld_params: {'weight': 20000, 'T': 10}
   feat_distill: True
   feat_distiller: 'fgd' # ['cwd', 'fgd', 'pkd', 'mgd', 'mimic']
   feat_distill_place: 'neck_feats'