diff --git a/mindspore/ccsrc/backend/kernel_compiler/cpu/dropout_grad_kernel.cc b/mindspore/ccsrc/backend/kernel_compiler/cpu/dropout_grad_kernel.cc
index cb9b253de2..8121d6f337 100644
--- a/mindspore/ccsrc/backend/kernel_compiler/cpu/dropout_grad_kernel.cc
+++ b/mindspore/ccsrc/backend/kernel_compiler/cpu/dropout_grad_kernel.cc
@@ -59,11 +59,10 @@ void DropoutGradCpuBwdKernel::DropoutBackwardKernel(const std::vector<AddressPtr
   auto dy = reinterpret_cast<T *>(inputs[0]->addr);
   auto mask = reinterpret_cast<T *>(inputs[1]->addr);
 
-  float scale = 1.f / keep_prob;
+  const float scale = 1.f / keep_prob;
   for (size_t i = 0; i < num_count; i += 1) {
     dx[i] = (T)(scale * static_cast<float>(dy[i] * mask[i]));
   }
 }
-
 }  // namespace kernel
 }  // namespace mindspore
diff --git a/mindspore/ccsrc/backend/kernel_compiler/cpu/dropout_grad_kernel.h b/mindspore/ccsrc/backend/kernel_compiler/cpu/dropout_grad_kernel.h
index af55615335..a7a3fc9ff3 100644
--- a/mindspore/ccsrc/backend/kernel_compiler/cpu/dropout_grad_kernel.h
+++ b/mindspore/ccsrc/backend/kernel_compiler/cpu/dropout_grad_kernel.h
@@ -26,7 +26,6 @@
 
 namespace mindspore {
 namespace kernel {
-
 class DropoutGradCpuBwdKernel : public CPUKernel {
  public:
   DropoutGradCpuBwdKernel() = default;
@@ -36,9 +35,9 @@ class DropoutGradCpuBwdKernel : public CPUKernel {
               const std::vector<AddressPtr> &outputs) override;
 
  private:
-  float keep_prob_{0.0};
+  float keep_prob_{1.0};
   size_t num_count_{1};
-  TypeId dtype_;
+  TypeId dtype_{kTypeUnknown};
   template <typename T>
   void DropoutBackwardKernel(const std::vector<AddressPtr> &inputs, const std::vector<AddressPtr> &outputs,
                              size_t num_count, float keep_prob);