diff --git a/paddle/fluid/operators/cudnn_lstm_cache.h b/paddle/fluid/operators/cudnn_lstm_cache.h
index 4b46e2b475e8bd59c59744bdfde7bfb1248bc99a..3181e4b1d990b775f2c80a5d13f391886f83b080 100644
--- a/paddle/fluid/operators/cudnn_lstm_cache.h
+++ b/paddle/fluid/operators/cudnn_lstm_cache.h
@@ -54,6 +54,8 @@ class ScopedRNNBase {
       x_descs_.emplace_back(x_desc_.descriptor<T>(dims_x, strides_x));
       y_descs_.emplace_back(y_desc_.descriptor<T>(dims_y, strides_y));
     }
+
+#if CUDNN_VERSION >= 7201
     if (!sequence_length.empty()) {
       x_seq_desc_.descriptor<T>(seq_length_, batch_size_, input_size_, true,
                                 sequence_length);
@@ -61,6 +63,7 @@ class ScopedRNNBase {
                                 hidden_size_ * numDirections, true,
                                 sequence_length);
     }
+#endif
 
     // ------------------- cudnn hx, hy, cx, cy descriptors----------
     std::vector<int> dims_hx = {num_layers_ * numDirections, batch_size_,
@@ -96,10 +99,13 @@ class ScopedRNNBase {
         is_bidirec_ ? CUDNN_BIDIRECTIONAL : CUDNN_UNIDIRECTIONAL, CUDNN_LSTM,
         cudnn_type));
 #endif
+
+#if CUDNN_VERSION >= 7201
     if (!sequence_length.empty()) {
       PADDLE_ENFORCE_CUDA_SUCCESS(platform::dynload::cudnnSetRNNPaddingMode(
           rnn_desc_.desc(), CUDNN_RNN_PADDED_IO_ENABLED));
     }
+#endif
 
     // ------------------- cudnn weights_size ---------------------
     size_t weights_size_;
@@ -125,8 +131,10 @@ class ScopedRNNBase {
   }
   cudnnTensorDescriptor_t* x_descs() { return x_descs_.data(); }
   cudnnTensorDescriptor_t* y_descs() { return y_descs_.data(); }
+#if CUDNN_VERSION >= 7201
   cudnnRNNDataDescriptor_t x_seq_desc() { return x_seq_desc_.desc(); }
   cudnnRNNDataDescriptor_t y_seq_desc() { return y_seq_desc_.desc(); }
+#endif
   cudnnTensorDescriptor_t init_h_desc() { return init_h_desc_.desc(); }
   cudnnTensorDescriptor_t init_c_desc() { return init_c_desc_.desc(); }
   cudnnTensorDescriptor_t last_h_desc() { return last_h_desc_.desc(); }
@@ -151,8 +159,10 @@ class ScopedRNNBase {
 
   platform::ScopedTensorDescriptor x_desc_;
   platform::ScopedTensorDescriptor y_desc_;
+#if CUDNN_VERSION >= 7201
   platform::ScopedRNNTensorDescriptor x_seq_desc_;
   platform::ScopedRNNTensorDescriptor y_seq_desc_;
+#endif
   platform::ScopedTensorDescriptor init_h_desc_;
   platform::ScopedTensorDescriptor init_c_desc_;
   platform::ScopedTensorDescriptor last_h_desc_;
diff --git a/paddle/fluid/platform/cudnn_helper.h b/paddle/fluid/platform/cudnn_helper.h
index bb4c2a89f6fa5e531aa322b69218cf58d3e94285..4b9c5c429dabc32fad6f05e4f066ab063057e733 100644
--- a/paddle/fluid/platform/cudnn_helper.h
+++ b/paddle/fluid/platform/cudnn_helper.h
@@ -294,6 +294,7 @@ class ScopedTensorDescriptor {
   DISABLE_COPY_AND_ASSIGN(ScopedTensorDescriptor);
 };
 
+#if CUDNN_VERSION >= 7201
 class ScopedRNNTensorDescriptor {
  public:
   ScopedRNNTensorDescriptor() {
@@ -337,6 +338,7 @@ class ScopedRNNTensorDescriptor {
   cudnnRNNDataDescriptor_t desc_;
   DISABLE_COPY_AND_ASSIGN(ScopedRNNTensorDescriptor);
 };
+#endif
 
 class ScopedDropoutDescriptor {
  public:
diff --git a/paddle/fluid/platform/dynload/cudnn.cc b/paddle/fluid/platform/dynload/cudnn.cc
index 44a03d6f14a3ba07d73cfbc944d8db9601394103..1166dc5e4ad93fa23ef00623de6777b78b56ea09 100644
--- a/paddle/fluid/platform/dynload/cudnn.cc
+++ b/paddle/fluid/platform/dynload/cudnn.cc
@@ -46,6 +46,10 @@ CUDNN_DNN_ROUTINE_EACH_R6(DEFINE_WRAP);
 CUDNN_DNN_ROUTINE_EACH_R7(DEFINE_WRAP);
 #endif
 
+#ifdef CUDNN_DNN_ROUTINE_EACH_AFTER_TWO_R7
+CUDNN_DNN_ROUTINE_EACH_AFTER_TWO_R7(DEFINE_WRAP);
+#endif
+
 #ifdef CUDNN_DNN_ROUTINE_EACH_AFTER_R7
 CUDNN_DNN_ROUTINE_EACH_AFTER_R7(DEFINE_WRAP);
 #endif
diff --git a/paddle/fluid/platform/dynload/cudnn.h b/paddle/fluid/platform/dynload/cudnn.h
index 7e85cb57f339331d5dd4233c2cad562c56d1d3af..fba41417648ba606727d00e71f48766f47479989 100644
--- a/paddle/fluid/platform/dynload/cudnn.h
+++ b/paddle/fluid/platform/dynload/cudnn.h
@@ -101,9 +101,6 @@ extern void EnforceCUDNNLoaded(const char* fn_name);
   __macro(cudnnDropoutGetStatesSize);                     \
   __macro(cudnnSetDropoutDescriptor);                     \
   __macro(cudnnRestoreDropoutDescriptor);                 \
-  __macro(cudnnCreateRNNDataDescriptor);                  \
-  __macro(cudnnDestroyRNNDataDescriptor);                 \
-  __macro(cudnnSetRNNDataDescriptor);                     \
   __macro(cudnnCreateRNNDescriptor);                      \
   __macro(cudnnGetRNNParamsSize);                         \
   __macro(cudnnGetRNNWorkspaceSize);                      \
@@ -112,11 +109,6 @@ extern void EnforceCUDNNLoaded(const char* fn_name);
   __macro(cudnnRNNBackwardData);                          \
   __macro(cudnnRNNBackwardWeights);                       \
   __macro(cudnnRNNForwardInference);                      \
-  __macro(cudnnRNNForwardTrainingEx);                     \
-  __macro(cudnnSetRNNPaddingMode);                        \
-  __macro(cudnnRNNBackwardDataEx);                        \
-  __macro(cudnnRNNBackwardWeightsEx);                     \
-  __macro(cudnnRNNForwardInferenceEx);                    \
   __macro(cudnnDestroyDropoutDescriptor);                 \
   __macro(cudnnDestroyRNNDescriptor);                     \
   __macro(cudnnSetTensorNdDescriptorEx);
@@ -188,6 +180,19 @@ CUDNN_DNN_ROUTINE_EACH_R6(DECLARE_DYNAMIC_LOAD_CUDNN_WRAP)
 CUDNN_DNN_ROUTINE_EACH_R7(DECLARE_DYNAMIC_LOAD_CUDNN_WRAP)
 #endif
 
+#if CUDNN_VERSION >= 7201
+#define CUDNN_DNN_ROUTINE_EACH_AFTER_TWO_R7(__macro) \
+  __macro(cudnnCreateRNNDataDescriptor);             \
+  __macro(cudnnDestroyRNNDataDescriptor);            \
+  __macro(cudnnSetRNNDataDescriptor);                \
+  __macro(cudnnSetRNNPaddingMode);                   \
+  __macro(cudnnRNNForwardTrainingEx);                \
+  __macro(cudnnRNNBackwardDataEx);                   \
+  __macro(cudnnRNNBackwardWeightsEx);                \
+  __macro(cudnnRNNForwardInferenceEx);
+CUDNN_DNN_ROUTINE_EACH_AFTER_TWO_R7(DECLARE_DYNAMIC_LOAD_CUDNN_WRAP)
+#endif
+
 #if CUDNN_VERSION >= 7401
 #define CUDNN_DNN_ROUTINE_EACH_AFTER_R7(__macro)                     \
   __macro(cudnnGetBatchNormalizationForwardTrainingExWorkspaceSize); \