diff --git a/paddle/fluid/operators/bilateral_slice_op.cc b/paddle/fluid/operators/bilateral_slice_op.cc
index cfa16d851e9be31936084c9fd5afdcf67936d37d..8b7968d2a8839500db906990ef8b2484262a3d8d 100644
--- a/paddle/fluid/operators/bilateral_slice_op.cc
+++ b/paddle/fluid/operators/bilateral_slice_op.cc
@@ -90,14 +90,6 @@ class BilateralSliceOp : public framework::OperatorWithKernel {
     return framework::OpKernelType(
         OperatorWithKernel::IndicateVarDataType(ctx, "X"), ctx.GetPlace());
   }
-
-  framework::OpKernelType GetKernelTypeForVar(
-      const std::string& var_name,
-      const phi::DenseTensor& tensor,
-      const framework::OpKernelType& expected_kernel_type) const override {
-    return framework::OpKernelType(
-        expected_kernel_type.data_type_, tensor.place(), tensor.layout());
-  }
 };
 
 class BilateralSliceOpMaker : public framework::OpProtoAndCheckerMaker {
diff --git a/paddle/fluid/operators/correlation_op.cc b/paddle/fluid/operators/correlation_op.cc
index cbd06ec042c48397241345f133d52fc1177dd6d9..5587b595cd4705c75d57c1f90b656e4a0fb033f2 100644
--- a/paddle/fluid/operators/correlation_op.cc
+++ b/paddle/fluid/operators/correlation_op.cc
@@ -122,14 +122,6 @@ class CorrelationOp : public framework::OperatorWithKernel {
                           "X and Y shoule have the same datatype"));
     return framework::OpKernelType(input_data_type, ctx.GetPlace());
   }
-
-  framework::OpKernelType GetKernelTypeForVar(
-      const std::string& var_name,
-      const phi::DenseTensor& tensor,
-      const framework::OpKernelType& expected_kernel_type) const override {
-    return framework::OpKernelType(
-        expected_kernel_type.data_type_, tensor.place(), tensor.layout());
-  }
 };
 
 template <typename T>
diff --git a/paddle/fluid/operators/fused/fused_bn_activation_op.cc b/paddle/fluid/operators/fused/fused_bn_activation_op.cc
index 92ed40018971197f5b24be4a7b5a562723214b9d..1627f533492373639dec9dac9a8fb0972f1fe3c0 100644
--- a/paddle/fluid/operators/fused/fused_bn_activation_op.cc
+++ b/paddle/fluid/operators/fused/fused_bn_activation_op.cc
@@ -196,14 +196,6 @@ framework::OpKernelType FusedBatchNormActOp::GetExpectedKernelType(
       input_data_type, ctx.GetPlace(), layout, library);
 }
 
-framework::OpKernelType FusedBatchNormActOp::GetKernelTypeForVar(
-    const std::string &var_name,
-    const Tensor &tensor,
-    const framework::OpKernelType &expected_kernel_type) const {
-  return framework::OpKernelType(
-      expected_kernel_type.data_type_, tensor.place(), tensor.layout());
-}
-
 void FusedBatchNormActOpMaker::Make() {
   AddAttr<float>("momentum", "").SetDefault(0.9);
   AddAttr<float>("epsilon", "")
diff --git a/paddle/fluid/operators/fused/fused_bn_activation_op.h b/paddle/fluid/operators/fused/fused_bn_activation_op.h
index d7e5d236359bd5831e6b9f3e6d170810a7a35541..f8aab994cb3719bcda84bb5c6f6945467269c4df 100644
--- a/paddle/fluid/operators/fused/fused_bn_activation_op.h
+++ b/paddle/fluid/operators/fused/fused_bn_activation_op.h
@@ -36,11 +36,6 @@ class FusedBatchNormActOp : public framework::OperatorWithKernel {
  protected:
   framework::OpKernelType GetExpectedKernelType(
       const framework::ExecutionContext& ctx) const override;
-
-  framework::OpKernelType GetKernelTypeForVar(
-      const std::string& var_name,
-      const phi::DenseTensor& tensor,
-      const framework::OpKernelType& expected_kernel_type) const override;
 };
 
 class FusedBatchNormActGradOp : public framework::OperatorWithKernel {
diff --git a/paddle/fluid/operators/partial_concat_op.cc b/paddle/fluid/operators/partial_concat_op.cc
index 396c4f2d038b7dd877eac2b1e1e7d541436fb836..e5a066fdc6539794511d7645c253654a1a1b0261 100644
--- a/paddle/fluid/operators/partial_concat_op.cc
+++ b/paddle/fluid/operators/partial_concat_op.cc
@@ -108,14 +108,6 @@ class PartialConcatOp : public framework::OperatorWithKernel {
                           "All Inputs of PartialSum OP are Empty!"));
     return framework::OpKernelType(input_data_type, ctx.GetPlace());
   }
-
-  framework::OpKernelType GetKernelTypeForVar(
-      const std::string &var_name,
-      const Tensor &tensor,
-      const framework::OpKernelType &expected_kernel_type) const override {
-    return framework::OpKernelType(
-        expected_kernel_type.data_type_, tensor.place(), tensor.layout());
-  }
 };
 
 class PartialConcatGradOp : public framework::OperatorWithKernel {
diff --git a/paddle/fluid/operators/put_along_axis_op.cc b/paddle/fluid/operators/put_along_axis_op.cc
index 65fdb4700964a6f98eb987b3aabefb12f89518b0..551dba6d839ed4534db60be78524ecadbee32d63 100644
--- a/paddle/fluid/operators/put_along_axis_op.cc
+++ b/paddle/fluid/operators/put_along_axis_op.cc
@@ -37,13 +37,6 @@ class PutAlongAxisOp : public framework::OperatorWithKernel {
         OperatorWithKernel::IndicateVarDataType(ctx, "Input"),
         ctx.device_context());
   }
-  framework::OpKernelType GetKernelTypeForVar(
-      const std::string& var_name,
-      const phi::DenseTensor& tensor,
-      const framework::OpKernelType& expected_kernel_type) const override {
-    return framework::OpKernelType(
-        expected_kernel_type.data_type_, tensor.place(), tensor.layout());
-  }
 };
 
 class PutAlongAxisOpMaker : public framework::OpProtoAndCheckerMaker {
@@ -78,13 +71,6 @@ class PutAlongAxisGradOp : public framework::OperatorWithKernel {
                                        ctx, framework::GradVarName("Result")),
                                    ctx.device_context());
   }
-  framework::OpKernelType GetKernelTypeForVar(
-      const std::string& var_name,
-      const phi::DenseTensor& tensor,
-      const framework::OpKernelType& expected_kernel_type) const override {
-    return framework::OpKernelType(
-        expected_kernel_type.data_type_, tensor.place(), tensor.layout());
-  }
 };
 
 template <typename T>
diff --git a/paddle/fluid/operators/take_along_axis_op.cc b/paddle/fluid/operators/take_along_axis_op.cc
index 0856645ad67e36073db70c8697753b6208ad01e9..5e3424a552bf924b92622156e6d6abdc9dbe936d 100644
--- a/paddle/fluid/operators/take_along_axis_op.cc
+++ b/paddle/fluid/operators/take_along_axis_op.cc
@@ -37,13 +37,6 @@ class TakeAlongAxisOp : public framework::OperatorWithKernel {
         OperatorWithKernel::IndicateVarDataType(ctx, "Input"),
         ctx.device_context());
   }
-  framework::OpKernelType GetKernelTypeForVar(
-      const std::string& var_name,
-      const phi::DenseTensor& tensor,
-      const framework::OpKernelType& expected_kernel_type) const override {
-    return framework::OpKernelType(
-        expected_kernel_type.data_type_, tensor.place(), tensor.layout());
-  }
 };
 
 class TakeAlongAxisOpMaker : public framework::OpProtoAndCheckerMaker {
@@ -77,13 +70,6 @@ class TakeAlongAxisGradOp : public framework::OperatorWithKernel {
                                        ctx, framework::GradVarName("Result")),
                                    ctx.device_context());
   }
-  framework::OpKernelType GetKernelTypeForVar(
-      const std::string& var_name,
-      const phi::DenseTensor& tensor,
-      const framework::OpKernelType& expected_kernel_type) const override {
-    return framework::OpKernelType(
-        expected_kernel_type.data_type_, tensor.place(), tensor.layout());
-  }
 };
 
 template <typename T>
diff --git a/paddle/fluid/operators/transfer_layout_op.cc b/paddle/fluid/operators/transfer_layout_op.cc
index ae1ad94d9f978ec4e9b537d6ed7bf7e886787ebe..ec2411bf1000542e71800fc6f5281716e5834cca 100644
--- a/paddle/fluid/operators/transfer_layout_op.cc
+++ b/paddle/fluid/operators/transfer_layout_op.cc
@@ -66,9 +66,7 @@ class TransferLayoutOp : public framework::OperatorWithKernel {
       const std::string &var_name,
       const phi::DenseTensor &tensor,
       const framework::OpKernelType &expected_kernel_type) const override {
-    return framework::OpKernelType(expected_kernel_type.data_type_,
-                                   expected_kernel_type.place_,
-                                   expected_kernel_type.data_layout_);
+    return expected_kernel_type;
   }
 };