"update macro and fix some part"

paddle/optimizer/Tensor.h

@@ -14,10 +14,15 @@ namespace optimizer {
 template <class T>
 class TensorT {
 public:
-  TensorT(size_t h, size_t w, T* data) : height_(h), width_(w), data_(data_) {}
-  TensorT(T* data, int size) : height_(1), width_(size), data_(data) {}
+  TensorT(size_t size) : height_(1), width_(size) { data_ = new T[size]; }
+  TensorT(T* data, size_t size) : height_(1), width_(size), data_(data) {}
+  TensorT(T* data, size_t h, size_t w) : height_(h), width_(w), data_(data_) {}
   TensorT(const TensorT& t)
       : TensorT(1, t.size(), 0, t.get_buffer(), false, false) {}
+  ~TensorT() {
+    if (data_) delete data_;
+  }
+
   TensorT& operator=(const TensorT& t) {
     this->width_ = t.size();
     this->data_ = t.get_buffer();

paddle/optimizer/Tensor_test.cpp

@@ -6,14 +6,12 @@ using namespace paddle;
 using namespace paddle::optimizer;
 
 TEST(Tensor, indexer) {
-  real* ptr = new real[3];
-  Tensor t(ptr, 3);
+  Tensor t(3);
   for (auto i = 0; i < t.size(); ++i) {
     t[i] = i;
   }
   ASSERT_EQ(t[2], 2);
   ASSERT_EQ(t[1], 1);
-  delete ptr;
 }
 
 int main(int argc, char** argv) {

paddle/optimizer/adadelta_optimizer.cc

@@ -8,12 +8,9 @@ namespace optimizer {
 void AdadeltaOptimizer::set_weight(Tensor* p) {
   parameter_ = p;
   size_t size = p->size();
-  real* gptr = new real[size];
-  accum_gradient_ = new Tensor(gptr, size);
-  real* dptr = new real[size];
-  accum_delta_ = new Tensor(dptr, size);
-  real* dptr_current = new real[size];
-  update_delta_ = new Tensor(dptr_current, size);
+  accum_gradient_ = new Tensor(size);
+  accum_delta_ = new Tensor(size);
+  update_delta_ = new Tensor(size);
 }
 
 void AdadeltaOptimizer::Update(const Tensor* gradient) {

paddle/optimizer/adagrad_optimizer.cc

@@ -8,8 +8,7 @@ namespace optimizer {
 void AdagradOptimizer::set_weight(Tensor* p) {
   parameter_ = p;
   size_t size = p->size();
-  real* gptr = new real[size];
-  accum_gradient_ = new Tensor(gptr, size);
+  accum_gradient_ = new Tensor(size);
 }
 
 void AdagradOptimizer::Update(const Tensor* gradient) {

paddle/optimizer/adam_optimizer.cc

@@ -7,10 +7,8 @@ namespace optimizer {
 void AdamOptimizer::set_weight(Tensor *p) {
   parameter_ = p;
   size_t size = p->size();
-  real *mptr = new real[size];
-  momentums_ = new Tensor(mptr, size);
-  real *vptr = new real[size];
-  velocitys_ = new Tensor(vptr, size);
+  momentums_ = new Tensor(size);
+  velocitys_ = new Tensor(size);
 }
 
 void AdamOptimizer::Update(const Tensor *gradient) {

paddle/optimizer/parameter_optimizer_test.cpp

@@ -11,8 +11,7 @@ using namespace paddle;
 using namespace paddle::optimizer;
 
 Tensor* FillTensor(size_t size) {
-  real* ptr = new real[size];
-  Tensor* param = new Tensor(ptr, size);
+  Tensor* param = new Tensor(size);
   Tensor& p = *param;
   for (auto i = 0; i < p.size(); ++i) {
     p[i] = (float)rand() / (float)RAND_MAX;
@@ -21,8 +20,7 @@ Tensor* FillTensor(size_t size) {
 }
 
 Tensor* FixedTensor(size_t size) {
-  real* ptr = new real[size];
-  Tensor* param = new Tensor(ptr, size);
+  Tensor* param = new Tensor(size);
   Tensor& p = *param;
   for (auto i = 0; i < p.size(); ++i) {
     p[i] = i;

paddle/optimizer/sgd_optmizer.cc

@@ -6,11 +6,10 @@ namespace optimizer {
 
 void SGDOptimizer::set_weight(Tensor *p) {
   parameter_ = p;
-  size_t size = p->size();
-  // TODO: fix it with align aware allocator bind to Tensor
   if (momentum_ != 0.0) {
-    real *ptr = new real[size];
-    momentums_ = new Tensor(ptr, size);
+    size_t size = p->size();
+    // TODO: fix it with align aware allocator bind to Tensor
+    momentums_ = new Tensor(size);
   }
 }