clean up

paddle/framework/operator.cc

@@ -182,8 +182,6 @@ static const Tensor* GetTensorFromVar(const Variable* var) {
   const Tensor* t = nullptr;
   if (var->IsType<LoDTensor>()) {
     t = &(var->Get<LoDTensor>());
-  } else if (var->IsType<Tensor>()) {
-    t = &(var->Get<Tensor>());
   } else if (var->IsType<SelectedRows>()) {
     t = &(var->Get<SelectedRows>().value());
   } else {
@@ -197,8 +195,6 @@ static Tensor* GetMutableTensorFromVar(Variable* var) {
   Tensor* t = nullptr;
   if (var->IsType<LoDTensor>()) {
     t = var->GetMutable<LoDTensor>();
-  } else if (var->IsType<Tensor>()) {
-    t = var->GetMutable<Tensor>();
   } else if (var->IsType<SelectedRows>()) {
     t = var->GetMutable<SelectedRows>()->mutable_value();
   } else {
@@ -362,8 +358,6 @@ class RuntimeInferShapeContext : public InferShapeContext {
     Variable* var = scope_.FindVar(name);
     if (var->IsType<LoDTensor>()) {
       return var->Get<LoDTensor>().dims();
-    } else if (var->IsType<Tensor>()) {
-      return var->Get<Tensor>().dims();
     } else if (var->IsType<SelectedRows>()) {
       return var->Get<SelectedRows>().GetCompleteDims();
     } else {
@@ -376,8 +370,6 @@ class RuntimeInferShapeContext : public InferShapeContext {
     Variable* var = scope_.FindVar(name);
     if (var->IsType<LoDTensor>()) {
       var->GetMutable<LoDTensor>()->Resize(dim);
-    } else if (var->IsType<Tensor>()) {
-      var->GetMutable<Tensor>()->Resize(dim);
     } else if (var->IsType<SelectedRows>()) {
       var->GetMutable<SelectedRows>()->set_height(dim[0]);
     } else {

paddle/operators/elementwise_op.h

@@ -34,8 +34,6 @@ class ElementwiseOp : public framework::OperatorWithKernel {
 
     auto x_dim = ctx->GetInputDim("X");
     auto y_dim = ctx->GetInputDim("Y");
-    LOG(INFO) << x_dim;
-    LOG(INFO) << y_dim;
     PADDLE_ENFORCE_GE(x_dim.size(), y_dim.size(),
                       "Rank of first input must >= rank of second input.");
     ctx->SetOutputDim("Out", x_dim);
@@ -119,9 +117,6 @@ class ElementwiseOpGrad : public framework::OperatorWithKernel {
     auto x_dims = ctx->GetInputDim("X");
     auto y_dims = ctx->GetInputDim("Y");
     auto out_dims = ctx->GetInputDim(framework::GradVarName("Out"));
-    LOG(INFO) << x_dims;
-    LOG(INFO) << y_dims;
-    LOG(INFO) << out_dims;
 
     PADDLE_ENFORCE_GE(x_dims.size(), y_dims.size(),
                       "Rank of first input must >= rank of second input.");