diff --git a/cmake/cudnn.cmake b/cmake/cudnn.cmake
index 98466d44fc0dd91ef0cc8e8eac2660c42a19267c..b68e1b4070c881aaa6770560bd81836403ed0da1 100644
--- a/cmake/cudnn.cmake
+++ b/cmake/cudnn.cmake
@@ -60,9 +60,8 @@ else()
     set(CUDNN_FOUND OFF)
 endif()
 
-if(CUDNN_FOUND)
-    file(READ ${CUDNN_INCLUDE_DIR}/cudnn.h CUDNN_VERSION_FILE_CONTENTS)
-
+macro(find_cudnn_version cudnn_header_file) 
+    file(READ ${cudnn_header_file} CUDNN_VERSION_FILE_CONTENTS)
     get_filename_component(CUDNN_LIB_PATH ${CUDNN_LIBRARY} DIRECTORY)
 
     string(REGEX MATCH "define CUDNN_VERSION +([0-9]+)"
@@ -93,10 +92,15 @@ if(CUDNN_FOUND)
             math(EXPR CUDNN_VERSION
                 "${CUDNN_MAJOR_VERSION} * 1000 +
                  ${CUDNN_MINOR_VERSION} * 100 + ${CUDNN_PATCHLEVEL_VERSION}")
+            message(STATUS "Current cuDNN header is ${cudnn_header_file} "
+              "Current cuDNN version is v${CUDNN_MAJOR_VERSION}.${CUDNN_MINOR_VERSION}. ")
         endif()
-
-        message(STATUS "Current cuDNN header is ${CUDNN_INCLUDE_DIR}/cudnn.h. "
-            "Current cuDNN version is v${CUDNN_MAJOR_VERSION}.${CUDNN_MINOR_VERSION}. ")
-
     endif()
+endmacro()
+
+if(CUDNN_FOUND)
+  find_cudnn_version(${CUDNN_INCLUDE_DIR}/cudnn.h) 
+  if (NOT CUDNN_MAJOR_VERSION) 
+    find_cudnn_version(${CUDNN_INCLUDE_DIR}/cudnn_version.h) 
+  endif()
 endif()
diff --git a/paddle/fluid/operators/conv_cudnn_helper.h b/paddle/fluid/operators/conv_cudnn_helper.h
index fadffaee71d21e736bcc0ab696e44277a85345eb..25b45f281a799ade12ec9cbfb8fb262dbc572196 100644
--- a/paddle/fluid/operators/conv_cudnn_helper.h
+++ b/paddle/fluid/operators/conv_cudnn_helper.h
@@ -162,19 +162,7 @@ struct SearchAlgorithm<cudnnConvolutionFwdAlgoPerf_t> {
       workspace_size = GetWorkspaceSize(args, algo);
 
       if (workspace_size > workspace_size_limit) {
-        has_got_workspace_size = false;
-        VLOG(1) << "Fallback to non-v7 method to find conv algorithm becasue "
-                   "the workspace size request("
-                << workspace_size << ") exceeds the limit("
-                << workspace_size_limit << ")";
-      }
-      if (!has_got_workspace_size) {
-        PADDLE_ENFORCE_CUDA_SUCCESS(
-            platform::dynload::cudnnGetConvolutionForwardAlgorithm(
-                args.handle, args.idesc.desc(), args.wdesc.desc(),
-                args.cdesc.desc(), args.odesc.desc(),
-                CUDNN_CONVOLUTION_FWD_SPECIFY_WORKSPACE_LIMIT,
-                workspace_size_limit, &algo));
+        workspace_size_limit = workspace_size;
       }
 #else
       PADDLE_ENFORCE_CUDA_SUCCESS(
@@ -303,19 +291,8 @@ struct SearchAlgorithm<cudnnConvolutionBwdDataAlgoPerf_t> {
 #endif
       workspace_size = GetWorkspaceSize(args, algo);
       if (workspace_size > workspace_size_limit) {
+        workspace_size_limit = workspace_size;
         has_got_workspace_size = false;
-        VLOG(1) << "Fallback to non-v7 method to find conv algorithm becasue "
-                   "the workspace size request("
-                << workspace_size << ") exceeds the limit("
-                << workspace_size_limit << ")";
-      }
-      if (!has_got_workspace_size) {
-        PADDLE_ENFORCE_CUDA_SUCCESS(
-            platform::dynload::cudnnGetConvolutionBackwardDataAlgorithm(
-                args.handle, args.wdesc.desc(), args.odesc.desc(),
-                args.cdesc.desc(), args.idesc.desc(),
-                CUDNN_CONVOLUTION_BWD_DATA_SPECIFY_WORKSPACE_LIMIT,
-                workspace_size_limit, &algo));
       }
 #else
       PADDLE_ENFORCE_CUDA_SUCCESS(
@@ -432,19 +409,7 @@ struct SearchAlgorithm<cudnnConvolutionBwdFilterAlgoPerf_t> {
       algo = (perf_results.get())[best_algo_idx].algo;
       workspace_size = GetWorkspaceSize(args, algo);
       if (workspace_size > workspace_size_limit) {
-        has_got_workspace_size = false;
-        VLOG(1) << "Fallback to non-v7 method to find conv algorithm becasue "
-                   "the workspace size request("
-                << workspace_size << ") exceeds the limit("
-                << workspace_size_limit << ")";
-      }
-      if (!has_got_workspace_size) {
-        PADDLE_ENFORCE_CUDA_SUCCESS(
-            platform::dynload::cudnnGetConvolutionBackwardFilterAlgorithm(
-                args.handle, args.idesc.desc(), args.odesc.desc(),
-                args.cdesc.desc(), args.wdesc.desc(),
-                CUDNN_CONVOLUTION_BWD_FILTER_SPECIFY_WORKSPACE_LIMIT,
-                workspace_size_limit, &algo));
+        workspace_size = workspace_size_limit;
       }
 #else
       PADDLE_ENFORCE_CUDA_SUCCESS(
diff --git a/paddle/fluid/operators/fused/conv_fusion_op.cu b/paddle/fluid/operators/fused/conv_fusion_op.cu
index 1b8360a3092f5640a4de83a038dee60bdfe8b83e..e8f371cb4877f343d108e8528345be03cd9b354b 100644
--- a/paddle/fluid/operators/fused/conv_fusion_op.cu
+++ b/paddle/fluid/operators/fused/conv_fusion_op.cu
@@ -204,11 +204,17 @@ class CUDNNConvFusionOpKernel : public framework::OpKernel<T> {
     auto x_dims = framework::vectorize(transformed_input.dims());
     auto f_dims = framework::vectorize(filter->dims());
     if (!exhaustive_search) {
+      int perf_count;
+      int best_algo_idx = 0;
+      size_t tmp_size = 0;
+      std::unique_ptr<cudnnConvolutionFwdAlgoPerf_t[]> perf_results(
+          new cudnnConvolutionFwdAlgoPerf_t[kNUM_CUDNN_FWD_ALGS]);
       PADDLE_ENFORCE_CUDA_SUCCESS(
-          platform::dynload::cudnnGetConvolutionForwardAlgorithm(
+          platform::dynload::cudnnGetConvolutionForwardAlgorithm_v7(
               handle, cudnn_input_desc, cudnn_filter_desc, cudnn_conv_desc,
-              cudnn_output_desc, CUDNN_CONVOLUTION_FWD_SPECIFY_WORKSPACE_LIMIT,
-              workspace_size_limit, &algo));
+              cudnn_output_desc, kNUM_CUDNN_FWD_ALGS, &perf_count,
+              perf_results.get()));
+      algo = (perf_results.get())[best_algo_idx].algo;
       VLOG(3) << "cuDNN forward algo " << algo;
     } else {
       std::function<cudnnConvolutionFwdAlgo_t()> search_func =
diff --git a/paddle/fluid/operators/fused/fusion_conv_inception_op.cu b/paddle/fluid/operators/fused/fusion_conv_inception_op.cu
index 9d6b9665f85ab528767ae8f65356d7f3901ad274..3529ff1f94aab259661640925f5096890dd95566 100644
--- a/paddle/fluid/operators/fused/fusion_conv_inception_op.cu
+++ b/paddle/fluid/operators/fused/fusion_conv_inception_op.cu
@@ -179,16 +179,23 @@ class CUDNNConvInceptionFusionOpKernel : public framework::OpKernel<T> {
       PADDLE_ENFORCE_CUDA_SUCCESS(platform::dynload::cudnnSetTensorNdDescriptor(
           out_desc[i], cudnn_dtype, 4, out_dims[i].data(),
           out_strides[i].data()));
+
+      int perf_count;
+      int best_algo_idx = 0;
+      size_t tmp_size = 0;
+      std::unique_ptr<cudnnConvolutionFwdAlgoPerf_t[]> perf_results(
+          new cudnnConvolutionFwdAlgoPerf_t[kNUM_CUDNN_FWD_ALGS]);
       PADDLE_ENFORCE_CUDA_SUCCESS(
-          platform::dynload::cudnnGetConvolutionForwardAlgorithm(
+          platform::dynload::cudnnGetConvolutionForwardAlgorithm_v7(
               handle, in_desc[i], filter_desc[i], conv_desc[i], out_desc[i],
-              CUDNN_CONVOLUTION_FWD_SPECIFY_WORKSPACE_LIMIT,
-              workspace_size_limit, &algo[i]));
-      size_t tmp_size = 0;
+              kNUM_CUDNN_FWD_ALGS, &perf_count, perf_results.get()));
+      algo[i] = (perf_results.get())[best_algo_idx].algo;
+
       PADDLE_ENFORCE_CUDA_SUCCESS(
           platform::dynload::cudnnGetConvolutionForwardWorkspaceSize(
               handle, in_desc[i], filter_desc[i], conv_desc[i], out_desc[i],
               algo[i], &tmp_size));
+
       workspace_size_in_bytes = std::max(workspace_size_in_bytes, tmp_size);
     }
     cudnnActivationDescriptor_t cudnn_act_desc =
diff --git a/paddle/fluid/platform/dynload/cudnn.h b/paddle/fluid/platform/dynload/cudnn.h
index 96297ec8557bcaac08b105d362dbca2fb0dcd29b..0eb28f0c0c3561f98891ff2a0ab5a26a20b07fb4 100644
--- a/paddle/fluid/platform/dynload/cudnn.h
+++ b/paddle/fluid/platform/dynload/cudnn.h
@@ -54,7 +54,6 @@ extern void EnforceCUDNNLoaded(const char* fn_name);
   __macro(cudnnSetTensorNdDescriptor);                    \
   __macro(cudnnGetTensorNdDescriptor);                    \
   __macro(cudnnGetConvolutionNdForwardOutputDim);         \
-  __macro(cudnnGetConvolutionForwardAlgorithm);           \
   __macro(cudnnCreateTensorDescriptor);                   \
   __macro(cudnnDestroyTensorDescriptor);                  \
   __macro(cudnnCreateFilterDescriptor);                   \
@@ -102,7 +101,6 @@ extern void EnforceCUDNNLoaded(const char* fn_name);
   __macro(cudnnDropoutGetStatesSize);                     \
   __macro(cudnnSetDropoutDescriptor);                     \
   __macro(cudnnCreateRNNDescriptor);                      \
-  __macro(cudnnSetRNNDescriptor);                         \
   __macro(cudnnGetRNNParamsSize);                         \
   __macro(cudnnGetRNNWorkspaceSize);                      \
   __macro(cudnnGetRNNTrainingReserveSize);                \
@@ -126,12 +124,19 @@ CUDNN_DNN_ROUTINE_EACH_R2(DECLARE_DYNAMIC_LOAD_CUDNN_WRAP)
 #if CUDNN_VERSION >= 3000
 #define CUDNN_DNN_ROUTINE_EACH_AFTER_R3(__macro)           \
   __macro(cudnnGetConvolutionBackwardFilterWorkspaceSize); \
-  __macro(cudnnGetConvolutionBackwardDataAlgorithm);       \
-  __macro(cudnnGetConvolutionBackwardFilterAlgorithm);     \
   __macro(cudnnGetConvolutionBackwardDataWorkspaceSize);
 CUDNN_DNN_ROUTINE_EACH_AFTER_R3(DECLARE_DYNAMIC_LOAD_CUDNN_WRAP)
 #endif
 
+// APIs available after R3:
+#if CUDNN_VERSION >= 3000 && CUDNN_VERSION < 8000
+#define CUDNN_DNN_ROUTINE_EACH_AFTER_R3_LESS_R8(__macro) \
+  __macro(cudnnGetConvolutionBackwardFilterAlgorithm);   \
+  __macro(cudnnGetConvolutionForwardAlgorithm);          \
+  __macro(cudnnSetRNNDescriptor);
+CUDNN_DNN_ROUTINE_EACH_AFTER_R3_LESS_R8(DECLARE_DYNAMIC_LOAD_CUDNN_WRAP)
+#endif
+
 // APIs available after R4:
 #if CUDNN_VERSION >= 4007
 #define CUDNN_DNN_ROUTINE_EACH_AFTER_R4(__macro)    \
@@ -183,6 +188,12 @@ CUDNN_DNN_ROUTINE_EACH_R7(DECLARE_DYNAMIC_LOAD_CUDNN_WRAP)
   __macro(cudnnGetBatchNormalizationTrainingExReserveSpaceSize);
 CUDNN_DNN_ROUTINE_EACH_AFTER_R7(DECLARE_DYNAMIC_LOAD_CUDNN_WRAP)
 #endif
+
+#if CUDNN_VERSION >= 8000
+#define CUDNN_DNN_ROUTINE_EACH_R8(__macro) __macro(cudnnSetRNNDescriptor_v8);
+CUDNN_DNN_ROUTINE_EACH_R8(DECLARE_DYNAMIC_LOAD_CUDNN_WRAP)
+#endif
+
 }  // namespace dynload
 }  // namespace platform
 }  // namespace paddle