format

PaddlePaddle · May 18, 2017 · 0a03b9d · 0a03b9d
1 parent 376669d
commit 0a03b9d
Show file tree

Hide file tree

Showing 4 changed files with 8 additions and 8 deletions.
diff --git a/paddle/lib/parameter_optimizer.h b/paddle/lib/parameter_optimizer.h
@@ -1,5 +1,5 @@
-#ifndef __PADDLE_LIB_OPTIMIZER_BASE_H__
-#define __PADDLE_LIB_OPTIMIZER_BASE_H__
+#ifndef PADDLE_LIB_OPTIMIZER_BASE_H_
+#define PADDLE_LIB_OPTIMIZER_BASE_H_
 
 #include <string>
 #include <functional>

diff --git a/paddle/lib/regularizer_ops.h b/paddle/lib/regularizer_ops.h
@@ -2,11 +2,13 @@
 #define PADDLE_LIB_REGULARIZER_OPS_H
 
 /*! \brief L1 implement */
-emplate<T>
-void applyL1(Tensor<T> parameter,
+template<class T>
+void applyL1(Tensor<T> &parameter,
  int32_t pass_num,
  double learning_rate) {
  // TODO need to find out how to add pass_num
+
+
 }
 
 #endif
diff --git a/paddle/lib/sgd_optimizer.h b/paddle/lib/sgd_optimizer.h
@@ -12,8 +12,6 @@ class SGDOptimizer : public ParameterOptimizer {
  double learning_rate) {
  applyGradientDescent(parameter, gradient, learning_rate);
  }
-
-private:
 };
 
 class MomentumOptimizer : public ParameterOptimizer {

diff --git a/paddle/lib/training_ops.cc b/paddle/lib/training_ops.cc
@@ -10,8 +10,8 @@ void applyGradientDescent(Tensor<T> &parameter,
  double learning_rate) {
  /*! \brief TODO(will replace with matrix dot) */
  for(size_t i=0; i < parameter.size(); ++i) {
- parameter[i] -= gradient[i] * learning
-  }
+ parameter[i] -= gradient[i] * learning_rate;
+ }
 }
 
 template<typename T>