diff --git a/mindspore/nn/layer/normalization.py b/mindspore/nn/layer/normalization.py
index 7f0987b16b8..1bbc2c965b5 100644
--- a/mindspore/nn/layer/normalization.py
+++ b/mindspore/nn/layer/normalization.py
@@ -108,7 +108,7 @@ class _BatchNorm(Cell):
             self.bn_train = P.FusedBatchNorm(mode=1,
                                              epsilon=self.eps,
                                              momentum=self.momentum)
-        self.bn_infer = P.BatchNorm(is_training=False, epsilon=self.eps)
+        self.bn_infer = P.BatchNorm(is_training=False, epsilon=self.eps, data_format=self.format)
         self.enable_global_sync = self.is_global and (self.is_ge_backend or (self.is_graph_mode and self.is_ascend))
         self.enable_default_train = self.is_graph_mode and not self.is_global and \
                                     (self.is_ge_backend or self.is_ascend)
diff --git a/model_zoo/official/cv/resnet/README.md b/model_zoo/official/cv/resnet/README.md
index caa585ac1ea..8baa0748bb8 100644
--- a/model_zoo/official/cv/resnet/README.md
+++ b/model_zoo/official/cv/resnet/README.md
@@ -513,7 +513,7 @@ result: {'top_5_accuracy': 0.9342589628681178, 'top_1_accuracy': 0.7680657810499
 | Uploaded Date       | 04/01/2020 (month/day/year) | 08/01/2020 (month/day/year) |
 | MindSpore Version   | 0.1.0-alpha                 | 0.6.0-alpha                 |
 | Dataset             | ImageNet2012                | ImageNet2012                |
-| batch_size          | 256                         | 32                          |
+| batch_size          | 256                         | 256                          |
 | outputs             | probability                 | probability                 |
 | Accuracy            | 76.70%                      | 76.74%                      |
 | Model for inference | 98M (.air file)         |  |