diff --git a/src/framework/executor.cpp b/src/framework/executor.cpp
index bf9ec6a87fb88839087bab0e21c406343e437b79..d511ad48ca3cf794ea473ab5bc0d791d4c72eded 100644
--- a/src/framework/executor.cpp
+++ b/src/framework/executor.cpp
@@ -299,31 +299,26 @@ void Executor<Device, T>::InitNoPersistableMemory(const Tensor &input_tensor) {
   for (const auto &block : program_desc_->Blocks()) {
     for (const auto &var_desc : block->Vars()) {
       auto var = program_.scope->Var(var_desc->Name());
-      auto tensor = var->template GetMutable<LoDTensor>();
-      if (var_desc->Persistable()) {
-        if (var_desc->Name() == "feed" || var_desc->Name() == "fetch") {
-          var->template GetMutable<framework::LoDTensorArray>();
-          continue;
-        }
-      } else {
-        if (var_desc->Type() == VARTYPE_TYPE_LOD_TENSOR) {
+      if (!var_desc->Persistable() &&
+          var_desc->Type() == VARTYPE_TYPE_LOD_TENSOR) {
+        DLOG << "InitNoPersistableMemory var " << var_desc->Name();
+        auto tensor = var->template GetMutable<LoDTensor>();
+        if (tensor->IsInitialized()) {
+          DLOG << "var's tensor is Initialized";
           DDim tensor_dim = tensor->dims();
           DDim new_dim =
               make_ddim({tensor_dim[0], tensor_dim[1], input_tensor.dims()[2],
                          input_tensor.dims()[3]});
           tensor->Resize(new_dim);
-          tensor->template mutable_data<T>();
+          tensor->template mutable_data_new<T>();
+          DLOG << "var's tensor dims " << tensor_dim;
+          DLOG << "var's tensor new dims " << new_dim;
         } else {
-          PADDLE_MOBILE_THROW_EXCEPTION("Unsupported var type `%d`",
-                                        var_desc->Type());
+          DLOG << "var's tensor is not Initialized ???";
         }
       }
     }
   }
-
-  std::shared_ptr<LoDTensor> output = GetOutput("fetch");
-  output->Resize(input_tensor.dims());
-  output->mutable_data<T>();
 }
 
 template <typename Device, typename T>
@@ -411,6 +406,9 @@ void Executor<Device, T>::SetInput(const Tensor &input,
   target.ShareDataWith(input);
   if (feed_indices_.size() == 1) {
     auto &dim = input.dims();
+    if (lod_mode_ && product(dim) < 0.9 * product(input_dim_last_)) {
+      InitNoPersistableMemory(target);
+    }
     input_dim_has_changed_ = input_dim_last_ != dim;
     input_dim_last_ = static_cast<DDim>(dim);
   }
@@ -432,6 +430,9 @@ void Executor<Device, T>::SetInput(const LoDTensor &input,
   target.set_lod(input.lod());
   if (feed_indices_.size() == 1) {
     auto &dim = input.dims();
+    if (lod_mode_ && product(dim) < 0.9 * product(input_dim_last_)) {
+      InitNoPersistableMemory(target);
+    }
     input_dim_has_changed_ = input_dim_last_ != dim;
     input_dim_last_ = static_cast<DDim>(dim);
   }
diff --git a/src/framework/tensor.h b/src/framework/tensor.h
index de70d557358234b98a984ec436370d42e5be69cc..93f11d84024033805baef1d1e9073585f1c75729 100644
--- a/src/framework/tensor.h
+++ b/src/framework/tensor.h
@@ -68,7 +68,8 @@ class Tensor : public TensorBase {
     Resize(ddim);
     auto type = type_id<T>().hash_code();
     int64_t size = numel() * SizeOfType(type);
-    holder_.reset(new PlaceholderImpl(size, type, (uint8_t *)input));
+    holder_.reset(
+        new PlaceholderImpl(size, type, reinterpret_cast<uint8_t *>(input)));
     holder_->set_type(type);
     offset_ = 0;
   }
@@ -103,6 +104,29 @@ class Tensor : public TensorBase {
     return *this;
   }
 
+  template <typename T>
+  inline T *mutable_data_new() {
+    static_assert(std::is_pod<T>::value, "T must be POD");
+    const kTypeId_t type = type_id<T>().hash_code();
+
+    if (holder_ != nullptr) {
+      holder_->set_type(type);
+    }
+
+    PADDLE_MOBILE_ENFORCE(numel() >= 0, "the Tensor's numel must >=0.")
+    int64_t size = numel() * SizeOfType(type);
+    if (holder_ == nullptr || holder_->size() != size + offset_) {
+      if (holder_ == nullptr) {
+        holder_.reset(new PlaceholderImpl(size, type));
+      } else {
+        holder_->realloc(size);
+      }
+      offset_ = 0;
+    }
+    return reinterpret_cast<T *>(reinterpret_cast<uintptr_t>(holder_->ptr()) +
+                                 offset_);
+  }
+
   inline void *mutable_data(const kTypeId_t type) {
     if (holder_ != nullptr) {
       holder_->set_type(type);
@@ -244,6 +268,12 @@ class Tensor : public TensorBase {
       size_ = size;
     }
 
+    virtual void realloc(size_t size) {
+      capatity_ = size;
+      ptr_.reset(static_cast<uint8_t *>(memory::Alloc(capatity_)));
+      size_ = size;
+    }
+
     std::unique_ptr<uint8_t, std::function<void(uint8_t *)>> ptr_;
 
     /*! the size of memory block. */
diff --git a/src/framework/tensor_base.h b/src/framework/tensor_base.h
index 027f1165a08509431fd1281f7b05174a7c64b7cc..a7f4aa1b8acadb8cd15676b3584b431b00d383a3 100644
--- a/src/framework/tensor_base.h
+++ b/src/framework/tensor_base.h
@@ -117,6 +117,8 @@ class TensorBase {
     virtual void set_type(kTypeId_t type) = 0;
 
     virtual void resize(size_t size) = 0;
+
+    virtual void realloc(size_t size) = 0;
   };
 
   /**