diff --git a/paddle/fluid/framework/new_executor/interpreter/data_transfer.cc b/paddle/fluid/framework/new_executor/interpreter/data_transfer.cc
index 9e494eb28dd38dbf2f92709faec2630f16014cbe..7024a57bb84b12e5210bfe694eee75a734850449 100644
--- a/paddle/fluid/framework/new_executor/interpreter/data_transfer.cc
+++ b/paddle/fluid/framework/new_executor/interpreter/data_transfer.cc
@@ -29,27 +29,24 @@ namespace paddle {
 namespace framework {
 namespace interpreter {
 
-bool DataTranferHelper::apply(
-    const phi::KernelKey& kernel_type_for_var,
-    const framework::OpKernelType& expected_kernel_key,
-    const phi::DenseTensor* tensor,
-    const std::string& var_name,
-    std::string* new_var_name,
-    std::vector<OpFuncNode>* op_func_nodes,
-    bool use_local_scope,
-    bool is_fetch_v2,
-    bool skip_run) {
+bool DataTranferHelper::apply(const phi::KernelKey& kernel_type_for_var,
+                              const phi::KernelKey& expected_kernel_key,
+                              const phi::DenseTensor* tensor,
+                              const std::string& var_name,
+                              std::string* new_var_name,
+                              std::vector<OpFuncNode>* op_func_nodes,
+                              bool use_local_scope,
+                              bool is_fetch_v2,
+                              bool skip_run) {
   bool is_transferred = false;
   auto* src_var_name = &var_name;
 
   // 1. layout transform
-  if (need_layout_transform(
-          kernel_type_for_var,
-          TransOpKernelTypeToPhiKernelKey(expected_kernel_key))) {
+  if (need_layout_transform(kernel_type_for_var, expected_kernel_key)) {
     auto op = TransferLayout(*src_var_name,
                              new_var_name,
                              kernel_type_for_var.layout(),
-                             expected_kernel_key.data_layout_,
+                             expected_kernel_key.layout(),
                              var_scope_,
                              scope_,
                              is_fetch_v2);
@@ -61,15 +58,14 @@ bool DataTranferHelper::apply(
     src_var_name = new_var_name;
     is_transferred = true;
   }
+
   // 2. dype transform
-  if (need_dtype_transform(
-          kernel_type_for_var,
-          TransOpKernelTypeToPhiKernelKey(expected_kernel_key))) {
+  if (need_dtype_transform(kernel_type_for_var, expected_kernel_key)) {
     auto op = TransferDtype(
         *src_var_name,
         new_var_name,
         framework::TransToProtoVarType(kernel_type_for_var.dtype()),
-        expected_kernel_key.data_type_,
+        framework::TransToProtoVarType(expected_kernel_key.dtype()),
         var_scope_,
         scope_);
     if (op) {
@@ -80,11 +76,12 @@ bool DataTranferHelper::apply(
     src_var_name = new_var_name;
     is_transferred = true;
   }
+
   // 3. device transform
-  if (need_device_transform(
-          kernel_type_for_var, tensor, expected_kernel_key.place_)) {
+  phi::Backend expected_backend = expected_kernel_key.backend();
+  if (need_device_transform(kernel_type_for_var, tensor, expected_backend)) {
     auto src_place = tensor->place();
-    auto dst_place = expected_kernel_key.place_;
+    auto dst_place = phi::TransToPhiPlace(expected_backend);
 
     auto op = TransferDevice(
         *src_var_name, new_var_name, src_place, dst_place, var_scope_, scope_);
@@ -575,8 +572,7 @@ void ApplyDataTransform(const OpKernelType& expected_kernel_key,
             }
             std::unique_ptr<phi::KernelKey>
                 expected_kernel_key_for_argument_def = nullptr;
-            if (argument_def &&
-                argument_def->backend != phi::Backend::ALL_BACKEND) {
+            if (argument_def) {
               const phi::Backend& tensor_backend =
                   phi::TransToPhiBackend(tensor_in->place());
               const phi::Backend& def_backend = argument_def->backend;
@@ -607,9 +603,8 @@ void ApplyDataTransform(const OpKernelType& expected_kernel_key,
             is_transferred = data_transfer_helper.apply(
                 kernel_key_for_var,
                 (expected_kernel_key_for_argument_def
-                     ? TransPhiKernelKeyToOpKernelType(
-                           *expected_kernel_key_for_argument_def.get())
-                     : expected_kernel_key),
+                     ? *expected_kernel_key_for_argument_def.get()
+                     : TransOpKernelTypeToPhiKernelKey(expected_kernel_key)),
                 tensor_in,
                 var_name,
                 &new_var_name,
diff --git a/paddle/fluid/framework/new_executor/interpreter/data_transfer.h b/paddle/fluid/framework/new_executor/interpreter/data_transfer.h
index 616f625075262cab722d2d96afc11c5109b11edf..19089b11942f784964edf18049d05e883f2f82b4 100644
--- a/paddle/fluid/framework/new_executor/interpreter/data_transfer.h
+++ b/paddle/fluid/framework/new_executor/interpreter/data_transfer.h
@@ -35,7 +35,7 @@ class DataTranferHelper {
       : place_(place), var_scope_(var_scope), scope_(local_scope) {}
 
   bool apply(const phi::KernelKey& kernel_type_for_var,
-             const framework::OpKernelType& expected_kernel_key,
+             const phi::KernelKey& expected_kernel_key,
              const phi::DenseTensor* tensor,
              const std::string& var_name,
              std::string* new_var_name,
@@ -82,9 +82,14 @@ void HandleComplexGradToRealGrad(const OpFuncNode& op_func_node,
 
 inline bool need_device_transform(const phi::KernelKey& kernel_type_for_var,
                                   const phi::DenseTensor* tensor,
-                                  const phi::Place& expected_place) {
+                                  const phi::Backend& expected_backend) {
   if (kernel_type_for_var.backend() == phi::Backend::ALL_BACKEND ||
-      platform::is_same_place(tensor->place(), expected_place) ||
+      expected_backend == phi::Backend::ALL_BACKEND) {
+    return false;
+  }
+
+  phi::Place expected_place = phi::TransToPhiPlace(expected_backend);
+  if (platform::is_same_place(tensor->place(), expected_place) ||
       (platform::is_cuda_pinned_place(tensor->place()) &&
        platform::is_cpu_place(expected_place))) {
     return false;