diff --git a/mindspore/ccsrc/utils/log_adapter.cc b/mindspore/ccsrc/utils/log_adapter.cc
index 19482ec193..eed68cf859 100644
--- a/mindspore/ccsrc/utils/log_adapter.cc
+++ b/mindspore/ccsrc/utils/log_adapter.cc
@@ -96,6 +96,13 @@ static int GetGlogLevel(MsLogLevel level) {
   }
 }
 #else
+
+#undef Dlog
+#define Dlog(module_id, level, format, ...)                   \
+  do {                                                        \
+    DlogInner((module_id), (level), (format), ##__VA_ARGS__); \
+  } while (0)
+
 // convert MsLogLevel to corresponding slog level
 static int GetSlogLevel(MsLogLevel level) {
   switch (level) {
diff --git a/mindspore/nn/layer/normalization.py b/mindspore/nn/layer/normalization.py
index d5082371c1..2df064353f 100644
--- a/mindspore/nn/layer/normalization.py
+++ b/mindspore/nn/layer/normalization.py
@@ -136,6 +136,7 @@ class BatchNorm1d(_BatchNorm):
         eps (float): A value added to the denominator for numerical stability. Default: 1e-5.
         momentum (float): A floating hyperparameter of the momentum for the
             running_mean and running_var computation. Default: 0.9.
+        affine (bool): A bool value when set to True, gamma and beta can be learnable. Default: True.
         gamma_init (Union[Tensor, str, Initializer, numbers.Number]): Initializer for the gamma weight.
             The values of str refer to the function `initializer` including 'zeros', 'ones', 'xavier_uniform',
             'he_uniform', etc. Default: 'ones'.
@@ -187,6 +188,7 @@ class BatchNorm2d(_BatchNorm):
         eps (float): A value added to the denominator for numerical stability. Default: 1e-5.
         momentum (float): A floating hyperparameter of the momentum for the
             running_mean and running_var computation. Default: 0.9.
+        affine (bool): A bool value when set to True, gamma and beta can be learnable. Default: True.
         gamma_init (Union[Tensor, str, Initializer, numbers.Number]): Initializer for the gamma weight.
             The values of str refer to the function `initializer` including 'zeros', 'ones', 'xavier_uniform',
             'he_uniform', etc. Default: 'ones'.