diff --git a/paddle/fluid/framework/conv_search_cache.h b/paddle/fluid/framework/conv_search_cache.h
new file mode 100644
index 0000000000000000000000000000000000000000..720467d6f1cda14a4fbb3ffce9afbc6f93d7fa08
--- /dev/null
+++ b/paddle/fluid/framework/conv_search_cache.h
@@ -0,0 +1,62 @@
+/* Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
+
+Licensed under the Apache License, Version 2.0 (the "License");
+you may not use this file except in compliance with the License.
+You may obtain a copy of the License at
+
+    http://www.apache.org/licenses/LICENSE-2.0
+
+Unless required by applicable law or agreed to in writing, software
+distributed under the License is distributed on an "AS IS" BASIS,
+WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+See the License for the specific language governing permissions and
+limitations under the License. */
+
+#pragma once
+
+#include "paddle/fluid/framework/op_registry.h"
+#include "paddle/fluid/framework/operator_kernel_configs.h"
+#include "paddle/fluid/platform/cudnn_helper.h"
+
+namespace paddle {
+namespace framework {
+
+using framework::AlgorithmsCache;
+
+// ConvSearchCache using framework::AlgorithmsCache to search
+// cudnnConvolutionFwdAlgo_t, cudnnConvolutionBwdDataAlgo_t or
+// cudnnConvolutionBwdFilterAlgo_t
+class ConvSearchCache {
+ public:
+  static ConvSearchCache& Instance() {
+    static ConvSearchCache instance;
+    return instance;
+  }
+
+  AlgorithmsCache<cudnnConvolutionFwdAlgo_t>* GetForward() {
+    return &forward_cache_;
+  }
+  AlgorithmsCache<cudnnConvolutionBwdDataAlgo_t>* GetBackwardData() {
+    return &backward_data_cache_;
+  }
+  AlgorithmsCache<cudnnConvolutionBwdFilterAlgo_t>* GetBackwardFilter() {
+    return &backward_filter_cache_;
+  }
+  AlgorithmsCache<cudnnConvolutionFwdAlgo_t>* GetConvFusion() {
+    return &fusion_forward_cache_;
+  }
+
+ private:
+  ConvSearchCache() {}
+  ~ConvSearchCache() {}
+  ConvSearchCache(const ConvSearchCache&) {}
+  ConvSearchCache& operator=(const ConvSearchCache&) {}
+
+  AlgorithmsCache<cudnnConvolutionFwdAlgo_t> forward_cache_;
+  AlgorithmsCache<cudnnConvolutionBwdDataAlgo_t> backward_data_cache_;
+  AlgorithmsCache<cudnnConvolutionBwdFilterAlgo_t> backward_filter_cache_;
+  AlgorithmsCache<cudnnConvolutionFwdAlgo_t> fusion_forward_cache_;
+};
+
+}  // namespace framework
+}  // namespace paddle
diff --git a/paddle/fluid/operators/conv_cudnn_helper.h b/paddle/fluid/operators/conv_cudnn_helper.h
index df94de8a18f60bc3a93eddfda2617eaba568d47a..d20311d091ce48311693656f7b741ea769ef91db 100644
--- a/paddle/fluid/operators/conv_cudnn_helper.h
+++ b/paddle/fluid/operators/conv_cudnn_helper.h
@@ -18,10 +18,10 @@ limitations under the License. */
 #include <array>
 #include <memory>
 #include <vector>
+#include "paddle/fluid/framework/conv_search_cache.h"
 #include "paddle/fluid/framework/operator_kernel_configs.h"
 #include "paddle/fluid/operators/conv_cudnn_op_cache.h"
 #include "paddle/fluid/platform/cudnn_desc.h"
-// #include "paddle/fluid/platform/device_context.h"
 namespace paddle {
 namespace operators {
 
@@ -90,43 +90,7 @@ std::ostream& operator<<(std::ostream& out, const std::vector<T>& v) {
   return out;
 }
 
-// ConvSearchCache using framework::AlgorithmsCache to search
-// cudnnConvolutionFwdAlgo_t, cudnnConvolutionBwdDataAlgo_t or
-// cudnnConvolutionBwdFilterAlgo_t
-class ConvSearchCache {
- public:
-  static ConvSearchCache& Instance() {
-    static ConvSearchCache instance;
-    return instance;
-  }
-
-  framework::AlgorithmsCache<cudnnConvolutionFwdAlgo_t>* GetForward() {
-    return &forward_cache_;
-  }
-  framework::AlgorithmsCache<cudnnConvolutionBwdDataAlgo_t>* GetBackwardData() {
-    return &backward_data_cache_;
-  }
-  framework::AlgorithmsCache<cudnnConvolutionBwdFilterAlgo_t>*
-  GetBackwardFilter() {
-    return &backward_filter_cache_;
-  }
-  framework::AlgorithmsCache<cudnnConvolutionFwdAlgo_t>* GetConvFusion() {
-    return &fusion_forward_cache_;
-  }
-
- private:
-  ConvSearchCache() {}
-  ~ConvSearchCache() {}
-  ConvSearchCache(const ConvSearchCache&) {}
-  ConvSearchCache& operator=(const ConvSearchCache&) {}
-
-  framework::AlgorithmsCache<cudnnConvolutionFwdAlgo_t> forward_cache_;
-  framework::AlgorithmsCache<cudnnConvolutionBwdDataAlgo_t>
-      backward_data_cache_;
-  framework::AlgorithmsCache<cudnnConvolutionBwdFilterAlgo_t>
-      backward_filter_cache_;
-  framework::AlgorithmsCache<cudnnConvolutionFwdAlgo_t> fusion_forward_cache_;
-};
+using framework::ConvSearchCache;
 
 struct ConvArgs {
   cudnnHandle_t handle;
@@ -228,7 +192,7 @@ struct SearchAlgorithm<cudnnConvolutionFwdAlgoPerf_t> {
 
       auto& temp = ctx.cuda_device_context();
       AlgorithmsCache<algo_t>& algo_cache =
-          *(ConvSearchCache::Instance().GetForward());
+          *(framework::ConvSearchCache::Instance().GetForward());
 
       auto x_dims = framework::vectorize(args.x->dims());
       auto w_dims = framework::vectorize(args.w->dims());
@@ -367,7 +331,7 @@ struct SearchAlgorithm<cudnnConvolutionBwdDataAlgoPerf_t> {
       auto workspace_handle = dev_ctx.cudnn_workspace_handle();
 
       AlgorithmsCache<algo_t>& algo_cache =
-          *(ConvSearchCache::Instance().GetBackwardData());
+          *(framework::ConvSearchCache::Instance().GetBackwardData());
 
       auto x_dims = framework::vectorize(args.x->dims());
       auto w_dims = framework::vectorize(args.w->dims());
@@ -495,7 +459,7 @@ struct SearchAlgorithm<cudnnConvolutionBwdFilterAlgoPerf_t> {
           ctx.template device_context<platform::CUDADeviceContext>();
       auto workspace_handle = dev_ctx.cudnn_workspace_handle();
       AlgorithmsCache<algo_t>& algo_cache =
-          *(ConvSearchCache::Instance().GetBackwardFilter());
+          *(framework::ConvSearchCache::Instance().GetBackwardFilter());
 
       auto x_dims = framework::vectorize(args.x->dims());
       auto w_dims = framework::vectorize(args.w->dims());
diff --git a/paddle/fluid/operators/fused/conv_fusion_op.cu b/paddle/fluid/operators/fused/conv_fusion_op.cu
index 92769bb93eae36a172c5169a699c6ac3fa2f0649..c4844300eaa67791d0c5a9edef408835e2648556 100644
--- a/paddle/fluid/operators/fused/conv_fusion_op.cu
+++ b/paddle/fluid/operators/fused/conv_fusion_op.cu
@@ -13,11 +13,12 @@ See the License for the specific language governing permissions and
 limitations under the License. */
 
 #include <array>
+#include "paddle/fluid/framework/conv_search_cache.h"
 #include "paddle/fluid/framework/op_registry.h"
-#include "paddle/fluid/operators/conv_cudnn_helper.h"
 #include "paddle/fluid/operators/conv_cudnn_op_cache.h"
 #include "paddle/fluid/operators/conv_op.h"
 #include "paddle/fluid/operators/math/padding.h"
+#include "paddle/fluid/platform/cudnn_helper.h"
 
 DECLARE_int64(cudnn_exhaustive_search_times);
 
@@ -32,6 +33,7 @@ using ScopedConvolutionDescriptor = platform::ScopedConvolutionDescriptor;
 using ScopedActivationDescriptor = platform::ScopedActivationDescriptor;
 using DataLayout = platform::DataLayout;
 using framework::AlgorithmsCache;
+using framework::ConvSearchCache;
 
 template <typename T>
 using ScalingParamType = typename platform::CudnnDataType<T>::ScalingParamType;
@@ -233,7 +235,7 @@ class CUDNNConvFusionOpKernel : public framework::OpKernel<T> {
         return fwd_perf_stat[0].algo;
       };
       AlgorithmsCache<cudnnConvolutionFwdAlgo_t>& algo_cache =
-          *(ConvSearchCache::Instance().GetConvFusion());
+          *(framework::ConvSearchCache::Instance().GetConvFusion());
       int search_times = ctx.Attr<int>("search_times");
       search_times = std::max(
           static_cast<int>(FLAGS_cudnn_exhaustive_search_times), search_times);