diff --git a/paddle/fluid/operators/reader/create_double_buffer_reader_op.cc b/paddle/fluid/operators/reader/create_double_buffer_reader_op.cc
index ca947fff4358d28dcda8895e1c31b80e82099422..706f6fd592f88ceb9728ff75df955bbdd75c4c32 100644
--- a/paddle/fluid/operators/reader/create_double_buffer_reader_op.cc
+++ b/paddle/fluid/operators/reader/create_double_buffer_reader_op.cc
@@ -24,15 +24,31 @@ static constexpr size_t kDoubleBufferSize = 2;
 
 class DoubleBufferReader : public framework::DecoratedReader {
  public:
+  struct Item {
+    Item() : ctx_(nullptr) {}
+
+    std::vector<framework::LoDTensor> payloads_;
+    platform::DeviceContext* ctx_;
+  };
+
   explicit DoubleBufferReader(
       ReaderBase* reader, platform::Place target_place = platform::CPUPlace())
       : DecoratedReader(reader), place_(target_place) {
+    for (size_t i = 0; i < kDoubleBufferSize; ++i) {
+      if (platform::is_gpu_place(place_)) {
+#ifdef PADDLE_WITH_CUDA
+        ctxs_.emplace_back(new platform::CUDADeviceContext(
+            boost::get<platform::CUDAPlace>(place_)));
+#else
+#endif
+      }
+    }
+
     start_thread();
   }
 
   void start_thread() {
-    buffer_ = framework::MakeChannel<std::vector<framework::LoDTensor>>(
-        kDoubleBufferSize);
+    buffer_ = framework::MakeChannel<Item>(kDoubleBufferSize);
     std::thread prefetch([this] { PrefetchThreadFunc(); });
     prefetch.detach();
   }
@@ -47,9 +63,10 @@ class DoubleBufferReader : public framework::DecoratedReader {
  private:
   void PrefetchThreadFunc();
 
-  framework::Channel<std::vector<framework::LoDTensor>>* buffer_;
+  framework::Channel<Item>* buffer_;
   platform::Place place_;
-  mutable std::vector<framework::LoDTensor> local_buffer_;
+  std::vector<std::unique_ptr<platform::DeviceContext>> ctxs_;
+  mutable Item local_buffer_;
 };
 
 class CreateDoubleBufferReaderOp : public framework::OperatorBase {
@@ -104,12 +121,14 @@ class CreateDoubleBufferReaderOpMaker : public DecoratedReaderMakerBase {
 };
 
 void DoubleBufferReader::ReadNext(std::vector<framework::LoDTensor>* out) {
-  out->clear();
-  if (local_buffer_.empty()) {
-    buffer_->Receive(out);
-  } else {
-    *out = local_buffer_;
-    local_buffer_.clear();
+  if (local_buffer_.payloads_.empty()) {
+    buffer_->Receive(&local_buffer_);
+  }
+
+  *out = local_buffer_.payloads_;
+  local_buffer_.payloads_.clear();
+  if (local_buffer_.ctx_) {
+    local_buffer_.ctx_->Wait();
   }
 }
 
@@ -121,16 +140,22 @@ void DoubleBufferReader::ReInit() {
 
 void DoubleBufferReader::PrefetchThreadFunc() {
   VLOG(5) << "A new prefetch thread starts.";
+  size_t gpu_ctx_offset = 0;
   while (reader_->HasNext()) {
-    std::vector<framework::LoDTensor> batch;
-    reader_->ReadNext(&batch);
+    Item batch;
+    reader_->ReadNext(&batch.payloads_);
     if (platform::is_gpu_place(place_)) {
       std::vector<framework::LoDTensor> gpu_batch;
-      gpu_batch.resize(batch.size());
-      for (size_t i = 0; i < batch.size(); ++i) {
-        framework::TensorCopy(batch[i], place_, &gpu_batch[i]);
-        gpu_batch[i].set_lod(batch[i].lod());
+      auto& gpu_ctx = this->ctxs_[gpu_ctx_offset++];
+      gpu_ctx_offset %= this->ctxs_.size();
+      gpu_batch.resize(batch.payloads_.size());
+      for (size_t i = 0; i < batch.payloads_.size(); ++i) {
+        framework::TensorCopy(batch.payloads_[i], place_, *gpu_ctx,
+                              &gpu_batch[i]);
+        gpu_batch[i].set_lod(batch.payloads_[i].lod());
       }
+      batch.ctx_ = gpu_ctx.get();
+      std::swap(gpu_batch, batch.payloads_);
     }
 
     if (!buffer_->Send(&batch)) {
@@ -143,7 +168,7 @@ void DoubleBufferReader::PrefetchThreadFunc() {
 }
 
 bool DoubleBufferReader::HasNext() const {
-  if (local_buffer_.empty()) {
+  if (local_buffer_.payloads_.empty()) {
     bool ok = buffer_->Receive(&local_buffer_);
     return ok;
   } else {