diff --git a/lite/core/context.h b/lite/core/context.h
index 7ab45bae1d3b3ff518ffa7a1db61cd1f56c92728..1368f2763afe3a487446bafb375af2fe2894b013 100644
--- a/lite/core/context.h
+++ b/lite/core/context.h
@@ -271,10 +271,12 @@ class Context<TargetType::kMLU> {
   void SetIoQueue(cnrtQueue_t queue) { io_queue_ = queue; }
 
   cnmlCoreVersion_t MLUCoreVersion() {
-    return DeviceInfo::Global().MLUCoreVersion();
+    return paddle::lite::TargetWrapperMlu::MLUCoreVersion();
   }
 
-  int MLUCoreNumber() { return DeviceInfo::Global().MLUCoreNumber(); }
+  int MLUCoreNumber() {
+    return paddle::lite::TargetWrapperMlu::MLUCoreNumber();
+  }
 
   u32_t affinity() { return affinity_; }
 
diff --git a/lite/core/device_info.cc b/lite/core/device_info.cc
index 29ac96ed744b016833a746b35002dd68109efd8b..6d856b91888e652568fdae0452345e4dadaa069c 100644
--- a/lite/core/device_info.cc
+++ b/lite/core/device_info.cc
@@ -66,15 +66,6 @@ thread_local std::vector<int> DeviceInfo::active_ids_;
 thread_local TensorLite DeviceInfo::workspace_;
 thread_local int64_t DeviceInfo::count_ = 0;
 
-#ifdef LITE_WITH_MLU
-thread_local cnmlCoreVersion_t DeviceInfo::mlu_core_version_{CNML_MLU270};
-thread_local int DeviceInfo::mlu_core_number_{1};
-thread_local bool DeviceInfo::use_first_conv_{false};
-thread_local std::vector<float> DeviceInfo::mean_vec_;
-thread_local std::vector<float> DeviceInfo::std_vec_;
-thread_local DataLayoutType DeviceInfo::input_layout_{DATALAYOUT(kNCHW)};
-#endif
-
 #ifdef TARGET_IOS
 const int DEFAULT_L1_CACHE_SIZE = 64 * 1024;
 const int DEFAULT_L2_CACHE_SIZE = 2048 * 1024;
@@ -1089,45 +1080,6 @@ int DeviceInfo::Setup() {
   return 0;
 }
 
-#ifdef LITE_WITH_MLU
-void DeviceInfo::SetMLURunMode(lite_api::MLUCoreVersion core_version,
-                               int core_number,
-                               bool use_first_conv,
-                               const std::vector<float>& mean_vec,
-                               const std::vector<float>& std_vec,
-                               DataLayoutType input_layout) {
-  switch (core_version) {
-    case (lite_api::MLUCoreVersion::MLU_220):
-      mlu_core_version_ = CNML_MLU220;
-      break;
-    case (lite_api::MLUCoreVersion::MLU_270):
-      mlu_core_version_ = CNML_MLU270;
-      break;
-    default:
-      mlu_core_version_ = CNML_MLU270;
-      break;
-  }
-  mlu_core_number_ = core_number;
-  use_first_conv_ = use_first_conv;
-  mean_vec_ = mean_vec;
-  std_vec_ = std_vec;
-  input_layout_ = input_layout;
-}
-
-cnmlCoreVersion_t DeviceInfo::MLUCoreVersion() { return mlu_core_version_; }
-
-int DeviceInfo::MLUCoreNumber() { return mlu_core_number_; }
-
-bool DeviceInfo::UseFirstConv() { return use_first_conv_; }
-
-const std::vector<float>& DeviceInfo::MeanVec() const { return mean_vec_; }
-
-const std::vector<float>& DeviceInfo::StdVec() const { return std_vec_; }
-
-DataLayoutType DeviceInfo::InputLayout() const { return input_layout_; }
-
-#endif  // LITE_WITH_MLU
-
 void DeviceInfo::SetRunMode(lite_api::PowerMode mode, int thread_num) {
 #ifdef ARM_WITH_OMP
   thread_num = std::min(thread_num, core_num_);
diff --git a/lite/core/device_info.h b/lite/core/device_info.h
index b06eb8d944735971133bb7a29aa0f06075e60626..6d20597820d879d5a47989570d3cb30faabfa3bd 100644
--- a/lite/core/device_info.h
+++ b/lite/core/device_info.h
@@ -55,20 +55,6 @@ class DeviceInfo {
   int Setup();
 
   void SetRunMode(lite_api::PowerMode mode, int thread_num);
-#ifdef LITE_WITH_MLU
-  void SetMLURunMode(lite_api::MLUCoreVersion core_version,
-                     int core_number,
-                     bool use_first_conv,
-                     const std::vector<float>& mean_vec,
-                     const std::vector<float>& std_vec,
-                     DataLayoutType input_layout);
-  cnmlCoreVersion_t MLUCoreVersion();
-  int MLUCoreNumber();
-  bool UseFirstConv();
-  const std::vector<float>& MeanVec() const;
-  const std::vector<float>& StdVec() const;
-  DataLayoutType InputLayout() const;
-#endif
   void SetCache(int l1size, int l2size, int l3size);
   void SetArch(ARMArch arch) { arch_ = arch; }
 
@@ -120,15 +106,6 @@ class DeviceInfo {
   static thread_local TensorLite workspace_;
   static thread_local int64_t count_;
 
-#ifdef LITE_WITH_MLU
-  static thread_local cnmlCoreVersion_t mlu_core_version_;
-  static thread_local int mlu_core_number_;
-  static thread_local bool use_first_conv_;
-  static thread_local std::vector<float> mean_vec_;
-  static thread_local std::vector<float> std_vec_;
-  static thread_local DataLayoutType input_layout_;
-#endif
-
   void SetDotInfo(int argc, ...);
   void SetFP16Info(int argc, ...);
   void SetFP32Info(int argc, ...);