diff --git a/paddle/fluid/operators/lookup_table_v2_op_npu_test.cc b/paddle/fluid/operators/lookup_table_v2_op_npu_test.cc
deleted file mode 100644
index 028d70b42245ddd305d119911cbd275c7ac0fc20..0000000000000000000000000000000000000000
--- a/paddle/fluid/operators/lookup_table_v2_op_npu_test.cc
+++ /dev/null
@@ -1,142 +0,0 @@
-/* Copyright (c) 2021 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. */
-
-#ifndef _WIN32
-#include <unistd.h>
-#endif
-
-#include <cmath>
-#include <iostream>
-#include <numeric>
-#include <string>
-#include <thread>  // NOLINT
-#include <vector>
-
-#include "gtest/gtest.h"
-#include "paddle/fluid/framework/op_registry.h"
-#include "paddle/fluid/framework/operator.h"
-#include "paddle/fluid/framework/program_desc.h"
-#include "paddle/fluid/operators/dropout_op.h"
-#include "paddle/fluid/operators/math/math_function.h"
-#include "paddle/fluid/string/printf.h"
-
-namespace f = paddle::framework;
-namespace p = paddle::platform;
-namespace m = paddle::operators::math;
-
-USE_OP(lookup_table_v2);
-USE_OP_DEVICE_KERNEL(lookup_table_v2, NPU);
-
-template <typename T>
-void Compare(f::Scope* scope, const p::DeviceContext& ctx) {
-  // init
-  auto ids = scope->Var("Ids");
-  auto out = scope->Var("Out");
-  auto w = scope->Var("W");
-
-  auto ids_t = ids->GetMutable<f::LoDTensor>();
-  auto out_t = out->GetMutable<f::LoDTensor>();
-  auto w_t = w->GetMutable<f::LoDTensor>();
-  int bsz = 10;
-  int dim = 32;
-  int seqlen = 8;
-  int vocab_size = 100;
-  TensorFromVector(std::vector<int64_t>(bsz * seqlen, 3), ctx, ids_t);
-  std::vector<T> val(vocab_size * dim, 10.);
-  TensorFromVector(val, ctx, w_t);
-  ids_t->Resize({bsz, seqlen});
-  w_t->Resize({vocab_size, dim});
-  out_t->Resize({bsz, seqlen, dim});
-  ctx.Wait();
-
-  auto place = ctx.GetPlace();
-  out_t->mutable_data<T>(place);
-  f::AttributeMap attrs = {{}};
-  auto op = f::OpRegistry::CreateOp("lookup_table_v2",
-                                    {{"W", {"W"}}, {"Ids", {"Ids"}}},
-                                    {{"Out", {"Out"}}}, attrs);
-  op->Run(*scope, place);
-  std::vector<T> out_v;
-  TensorToVector(*out_t, ctx, &out_v);
-  ctx.Wait();
-  EXPECT_EQ(out_t->numel(), bsz * seqlen * dim);
-  T res = std::accumulate(out_v.begin(), out_v.end(), 0.);
-  float eps = 1.e-6;
-  EXPECT_LT(fabs(res - bsz * seqlen * dim * 10.), eps);
-}
-
-template <typename T>
-void CompareGrad(f::Scope* scope, const p::DeviceContext& ctx) {
-  // init
-  auto w = scope->Var("W");
-  auto ids = scope->Var("Ids");
-  auto out = scope->Var("DOut");
-  auto dw = scope->Var("DW");
-
-  auto w_t = w->GetMutable<f::LoDTensor>();
-  auto ids_t = ids->GetMutable<f::LoDTensor>();
-  auto out_t = out->GetMutable<f::LoDTensor>();
-  auto dw_t = dw->GetMutable<f::LoDTensor>();
-
-  int bsz = 2;
-  int dim = 2;
-  int seqlen = 2;
-  int vocab_size = 4;
-
-  std::vector<int64_t> val_int(bsz * seqlen, 3);
-  std::vector<T> val(vocab_size * dim, 0.);
-  std::vector<T> val_out(bsz * seqlen * dim, 1.);
-
-  TensorFromVector(val_int, ctx, ids_t);
-  TensorFromVector(val, ctx, w_t);
-  TensorFromVector(val, ctx, dw_t);
-  TensorFromVector(val_out, ctx, out_t);
-
-  w_t->Resize({vocab_size, dim});
-  ids_t->Resize({bsz, seqlen});
-  out_t->Resize({bsz, seqlen, dim});
-  dw_t->Resize({vocab_size, dim});
-
-  ctx.Wait();
-
-  auto place = ctx.GetPlace();
-  out_t->mutable_data<T>(place);
-  w_t->mutable_data<T>(place);
-  dw_t->mutable_data<T>(place);
-  f::AttributeMap attrs = {{}};
-  auto op = f::OpRegistry::CreateOp(
-      "lookup_table_v2_grad",
-      {{"Ids", {"Ids"}}, {"W", {"W"}}, {"Out@GRAD", {"DOut"}}},
-      {{"W@GRAD", {"DW"}}}, attrs);
-  op->Run(*scope, place);
-  ctx.Wait();
-  std::vector<T> w_v;
-  TensorToVector(*dw_t, ctx, &w_v);
-  ctx.Wait();
-  EXPECT_EQ(dw_t->numel(), vocab_size * dim);
-  T res = std::accumulate(w_v.begin(), w_v.end(), 0.);
-  float eps = 1.e-6;
-  EXPECT_LT(fabs(res - bsz * seqlen * dim), eps);
-}
-
-TEST(lookup_table_v2, NPU_fp32) {
-  f::Scope scope;
-  auto* ctx = p::DeviceContextPool::Instance().Get(p::NPUPlace(0));
-  Compare<float>(&scope, *ctx);
-}
-
-TEST(lookup_table_v2_grad, NPU_fp32) {
-  f::Scope scope;
-  auto* ctx = p::DeviceContextPool::Instance().Get(p::NPUPlace(0));
-  CompareGrad<float>(&scope, *ctx);
-}