diff --git a/paddle/framework/tensor_impl.h b/paddle/framework/tensor_impl.h
index 46ea3b881d4fd0e260714156b556b80a0ee581a5..6c6f298edc187a87677089e54c4c9046821282df 100644
--- a/paddle/framework/tensor_impl.h
+++ b/paddle/framework/tensor_impl.h
@@ -134,14 +134,6 @@ inline void* Tensor::mutable_data(platform::Place place, std::type_index type) {
 #endif
     offset_ = 0;
   }
-
-  if (typeid(float).hash_code() == type.hash_code()) {
-    auto buf = reinterpret_cast<float*>(
-        reinterpret_cast<uintptr_t>(holder_->ptr()) + offset_);
-    for (int64_t i = 0; i < this->numel(); ++i) {
-      buf[i] = NAN;
-    }
-  }
   return reinterpret_cast<void*>(reinterpret_cast<uintptr_t>(holder_->ptr()) +
                                  offset_);
 }
diff --git a/paddle/operators/sum_op.h b/paddle/operators/sum_op.h
index cbde9976dc392d748f60165ba55d7888408a5d63..eaa36aa1aea53e0b37ef6c578d8bb1cda230ded0 100644
--- a/paddle/operators/sum_op.h
+++ b/paddle/operators/sum_op.h
@@ -107,12 +107,10 @@ class SumKernel : public framework::OpKernel<T> {
               out_array.resize(i + 1);
             }
             if (out_array[i].numel() == 0) {
-              VLOG(10) << context.op().Output("Out") << " just copy";
               framework::CopyFrom(in_array[i], in_array[i].place(),
                                   context.device_context(), &out_array[i]);
               out_array[i].set_lod(in_array[i].lod());
             } else {
-              VLOG(10) << context.op().Output("Out") << " merged";
               PADDLE_ENFORCE(out_array[i].lod() == in_array[i].lod());
               auto in = EigenVector<T>::Flatten(in_array[i]);
               auto result = EigenVector<T>::Flatten(out_array[i]);