From 8ba99874605adadec2408d01b7aed4acf1ec58d1 Mon Sep 17 00:00:00 2001
From: yang_chun <yangchun32@huawei.com>
Date: Thu, 14 Jan 2021 17:35:03 +0800
Subject: [PATCH] Fix: ApplyAdagrad CodeDEX.

---
 .../backend/kernel_compiler/cpu/apply_adagrad_cpu_kernel.cc   | 4 +++-
 .../backend/kernel_compiler/cpu/apply_adagrad_cpu_kernel.h    | 2 +-
 2 files changed, 4 insertions(+), 2 deletions(-)

diff --git a/mindspore/ccsrc/backend/kernel_compiler/cpu/apply_adagrad_cpu_kernel.cc b/mindspore/ccsrc/backend/kernel_compiler/cpu/apply_adagrad_cpu_kernel.cc
index 90d7c9d482..34d4c1ee16 100644
--- a/mindspore/ccsrc/backend/kernel_compiler/cpu/apply_adagrad_cpu_kernel.cc
+++ b/mindspore/ccsrc/backend/kernel_compiler/cpu/apply_adagrad_cpu_kernel.cc
@@ -84,6 +84,7 @@ void ApplyAdagradCPUKernel::LaunchKernel(const std::vector<AddressPtr> &inputs)
 
   if (batch_size == 0) {
     MS_LOG(EXCEPTION) << "Error occur in launch kernel";
+    return;
   }
   while (start < length) {
     size_t end = (start + batch_size) > length ? length : (start + batch_size);
@@ -98,7 +99,8 @@ void ApplyAdagradCPUKernel::LaunchKernel(const std::vector<AddressPtr> &inputs)
 }
 
 template <typename T>
-void ApplyAdagradCPUKernel::LaunchApplyAdagrad(T var, T accum, T lr, T gradient, size_t start, size_t end) {
+void ApplyAdagradCPUKernel::LaunchApplyAdagrad(T const var, T const accum, const T lr, const T gradient, size_t start,
+                                               size_t end) {
   // DataType can only be float32 or float16, so eps will not be zero.
   using DataType = typename std::iterator_traits<T>::value_type;
   const DataType one = DataType(1);
diff --git a/mindspore/ccsrc/backend/kernel_compiler/cpu/apply_adagrad_cpu_kernel.h b/mindspore/ccsrc/backend/kernel_compiler/cpu/apply_adagrad_cpu_kernel.h
index 739c964c10..f5ebe37fbf 100644
--- a/mindspore/ccsrc/backend/kernel_compiler/cpu/apply_adagrad_cpu_kernel.h
+++ b/mindspore/ccsrc/backend/kernel_compiler/cpu/apply_adagrad_cpu_kernel.h
@@ -38,7 +38,7 @@ class ApplyAdagradCPUKernel : public CPUKernel {
   template <typename T>
   void LaunchKernel(const std::vector<AddressPtr> &inputs);
   template <typename T>
-  void LaunchApplyAdagrad(T var, T accum, T lr, T gradient, size_t start, size_t end);
+  void LaunchApplyAdagrad(T const var, T const accum, const T lr, const T gradient, size_t start, size_t end);
   bool update_slots_{true};
   TypeId dtype_{kTypeUnknown};
 };