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 141a3eb93555c32efabc2465dc6daadf41c9d659..f4b10cb03268c947a7beaf46a2ddd753c999450e 100644
--- a/paddle/fluid/operators/reader/create_double_buffer_reader_op.cc
+++ b/paddle/fluid/operators/reader/create_double_buffer_reader_op.cc
@@ -128,9 +128,6 @@ void DoubleBufferReader::ReadNext(std::vector<framework::LoDTensor>* out) {
     PADDLE_THROW("There is no next data!");
   }
 
-  if (local_buffer_.payloads_.empty()) {
-    buffer_->Receive(&local_buffer_);
-  }
   *out = local_buffer_.payloads_;
   local_buffer_.payloads_.clear();
   if (local_buffer_.ctx_) {
@@ -149,21 +146,30 @@ void DoubleBufferReader::ReInit() {
 void DoubleBufferReader::PrefetchThreadFunc() {
   VLOG(5) << "A new prefetch thread starts.";
   size_t gpu_ctx_offset = 0;
+  std::vector<std::vector<framework::LoDTensor>> cpu_tensor_cache(4);
+  std::vector<std::vector<framework::LoDTensor>> gpu_tensor_cache(4);
+  size_t tensor_cache_id = 0;
+
   while (reader_->HasNext()) {
     Item batch;
     reader_->ReadNext(&batch.payloads_);
     if (platform::is_gpu_place(place_)) {
-      std::vector<framework::LoDTensor> gpu_batch;
+      tensor_cache_id %= 4;
+      auto& gpu_batch = gpu_tensor_cache[tensor_cache_id];
+      auto& cpu_batch = cpu_tensor_cache[tensor_cache_id];
+      cpu_batch = batch.payloads_;
+      ++tensor_cache_id;
+
       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]);
+      for (size_t i = 0; i < cpu_batch.size(); ++i) {
+        framework::TensorCopy(cpu_batch[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_);
+      batch.payloads_ = gpu_batch;
     }
 
     try {