text: /**
   * Copyright 2020 Huawei Technologies Co., Ltd
   *
   * 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.
   */
  #include "common/backend_common_test.h"
  #include "common/py_func_graph_fetcher.h"
  #include "backend/common/session/anf_runtime_algorithm.h"
  #include "frontend/operator/ops.h"
  #include "ir/tensor.h"
  #include "include/common/debug/anf_ir_dump.h"
  #include "include/common/utils/utils.h"
  #include "kernel/kernel_build_info.h"
  #include "backend/common/optimizer/optimizer.h"
  #include "plugin/device/ascend/optimizer/enhancer/getnext_tensor_move_elimination.h"
  
  namespace mindspore {
  namespace opt {
  class TestGetNextTensorMoveElimination : public BackendCommon {
   public:
    TestGetNextTensorMoveElimination() : get_py_fun_("gtest_input.pre_activate.getnext_tensor_move_elimination_test", true) {}
  
   public:
    UT::PyFuncGraphFetcher get_py_fun_;
  };
  
  TEST_F(TestGetNextTensorMoveElimination, test_getnext_tensormove_elimination) {
    FuncGraphPtr g_before = get_py_fun_.CallAndParseRet("test_getnext_tensor_move_elimination", "before");
    ASSERT_TRUE(g_before != nullptr);
  
    auto optimizer = std::make_shared<opt::GraphOptimizer>();
    auto pm = std::make_shared<opt::PassManager>();
    auto pass = std::make_shared<opt::GetnextTensorMoveElimination>();
    pm->AddPass(pass);
    optimizer->AddPassManager(pm);
    auto new_graph = optimizer->Optimize(g_before);
  
    FuncGraphPtr g_after = get_py_fun_.CallAndParseRet("test_getnext_tensor_move_elimination", "after");
    EXPECT_TRUE(CheckEqualGraph(g_after, new_graph));
  }
  
  TEST_F(TestGetNextTensorMoveElimination, test_getnext_tensor_move_elimination_no_attr) {
    FuncGraphPtr g_before = get_py_fun_.CallAndParseRet("test_getnext_tensor_move_elimination_no_attr", "before");
    ASSERT_TRUE(g_before != nullptr);
  
    auto optimizer = std::make_shared<opt::GraphOptimizer>();
    auto pm = std::make_shared<opt::PassManager>();
    auto pass = std::make_shared<opt::GetnextTensorMoveElimination>();
    pm->AddPass(pass);
    optimizer->AddPassManager(pm);
    auto new_graph = optimizer->Optimize(g_before);
  
    FuncGraphPtr g_after = get_py_fun_.CallAndParseRet("test_getnext_tensor_move_elimination_no_attr", "after");
    EXPECT_TRUE(CheckEqualGraph(g_after, new_graph));
  }
  
  TEST_F(TestGetNextTensorMoveElimination, test_getnext_tensor_move_elimination_tensor_move_multi_users) {
    FuncGraphPtr g_before = get_py_fun_.CallAndParseRet("test_getnext_tensor_move_elimination_tensor_move_multi_users", "before");
    ASSERT_TRUE(g_before != nullptr);
  
    auto optimizer = std::make_shared<opt::GraphOptimizer>();
    auto pm = std::make_shared<opt::PassManager>();
    auto pass = std::make_shared<opt::GetnextTensorMoveElimination>();
    pm->AddPass(pass);
    optimizer->AddPassManager(pm);
    auto new_graph = optimizer->Optimize(g_before);
  
    FuncGraphPtr g_after = get_py_fun_.CallAndParseRet("test_getnext_tensor_move_elimination_tensor_move_multi_users", "after");
    EXPECT_TRUE(CheckEqualGraph(g_after, new_graph));
  }
  
  TEST_F(TestGetNextTensorMoveElimination, test_getnext_tensor_move_elimination_next_multi_inputs) {
    FuncGraphPtr g_before = get_py_fun_.CallAndParseRet("test_getnext_tensor_move_elimination_next_multi_inputs", "before");
    ASSERT_TRUE(g_before != nullptr);
  
    auto optimizer = std::make_shared<opt::GraphOptimizer>();
    auto pm = std::make_shared<opt::PassManager>();
    auto pass = std::make_shared<opt::GetnextTensorMoveElimination>();
    pm->AddPass(pass);
    optimizer->AddPassManager(pm);
    auto new_graph = optimizer->Optimize(g_before);
  
    FuncGraphPtr g_after = get_py_fun_.CallAndParseRet("test_getnext_tensor_move_elimination_next_multi_inputs", "after");
    EXPECT_TRUE(CheckEqualGraph(g_after, new_graph));
  }
  
  }  // namespace opt
  }  // namespace mindspore
  