From: jijoong.moon <jijoong.moon@samsung.com>
Date: Thu, 21 Apr 2022 01:19:13 +0000 (+0900)
Subject: [ Android ] fix the warnning message
X-Git-Tag: accepted/tizen/6.0/unified/20220610.012600~36
X-Git-Url: http://review.tizen.org/git/?a=commitdiff_plain;h=b576f9627f50c8ad202450f2d5967089fef43e3d;p=platform%2Fcore%2Fml%2Fnntrainer.git

[ Android ] fix the warnning message

This patch fixs the warnning message for the android

**Self evaluation:**
1. Build test:	 [X]Passed [ ]Failed [ ]Skipped
2. Run test:	 [X]Passed [ ]Failed [ ]Skipped

Signed-off-by: jijoong.moon <jijoong.moon@samsung.com>
---

diff --git a/nntrainer/optimizers/adam.h b/nntrainer/optimizers/adam.h
index af60607..4636c39 100644
--- a/nntrainer/optimizers/adam.h
+++ b/nntrainer/optimizers/adam.h
@@ -84,7 +84,7 @@ public:
    * @copydoc Optimizer::getDefaultLearningRate()
    *
    */
-  double getDefaultLearningRate() const { return 0.001; }
+  double getDefaultLearningRate() const override { return 0.001; }
 
   /**
    * @copydoc applyGradient(RunOptimizerContext &context)
@@ -115,7 +115,6 @@ public:
   void setProperty(const std::vector<std::string> &values) override;
 
 private:
-
   std::tuple<PropsB1, PropsB2, PropsEpsilon, TorchRef> adam_props;
 
   /**
diff --git a/nntrainer/optimizers/sgd.h b/nntrainer/optimizers/sgd.h
index a8e0393..7e7d3c7 100644
--- a/nntrainer/optimizers/sgd.h
+++ b/nntrainer/optimizers/sgd.h
@@ -34,17 +34,17 @@ public:
    * @copydoc Optimizer::getDefaultLearningRate()
    *
    */
-  double getDefaultLearningRate() const { return 0.0001; }
+  double getDefaultLearningRate() const override { return 0.0001; }
 
   /**
    * @copydoc applyGradient(RunOptimizerContext &context)
    */
-  void applyGradient(RunOptimizerContext &context);
+  void applyGradient(RunOptimizerContext &context) override;
 
   /**
    * @copydoc Optimizer::getType()
    */
-  const std::string getType() const { return SGD::type; }
+  const std::string getType() const override { return SGD::type; }
 
   /**
    * @copydoc Optimizer::getOptimizerVariableDim(const TensorDim &dim)