Refine fuse bn and change True to true in retinanet_r101_fpn_1x.yml (#2598)

PaddleCV/object_detection/configs/retinanet_r101_fpn_1x.yml

@@ -3,7 +3,7 @@ train_feed: FasterRCNNTrainFeed
 eval_feed: FasterRCNNEvalFeed
 test_feed: FasterRCNNTestFeed
 max_iters: 90000
-use_gpu: True
+use_gpu: true
 pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet101_pretrained.tar
 weights: output/retinanet_r101_fpn_1x/model_final
 log_smooth_window: 20

PaddleCV/object_detection/ppdet/utils/checkpoint.py

@@ -168,9 +168,12 @@ def load_and_fusebn(exe, prog, path):
     if not bn_in_path:
         raise ValueError("The model in path {} has not params of batch norm.")
 
-    all_vars += [v for v in mean_variances]
+    # load running mean and running variance on cpu place into global scope.
+    place = fluid.CPUPlace()
+    exe_cpu = fluid.Executor(place)
+    fluid.io.load_vars(exe_cpu, path, vars=[v for v in mean_variances])
 
-    # load params including running mean and running variance into global scope.
+    # load params on real place into global scope.
     fluid.io.load_vars(exe, path, prog, vars=all_vars)
 
     eps = 1e-5