delete TestHWBatchNormGradSplit

tests/ut/cpp/pre_activate/ascend/ir_fission/batch_norm_grad_split_test.cc

-/**
- * 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 "operator/ops.h"
-#include "ir/meta_tensor.h"
-#include "debug/anf_ir_dump.h"
-#include "utils/utils.h"
-#include "pre_activate/common/optimizer.h"
-#include "pre_activate/ascend/ir_fission/batch_norm_grad_split.h"
-#include "session/anf_runtime_algorithm.h"
-
-namespace mindspore {
-namespace opt {
-class TestHWBatchNormGradSplit : public BackendCommon {
- public:
-  TestHWBatchNormGradSplit() : get_py_fun_("gtest_input.pre_activate.batch_norm_grad_split", true) {}
-
- public:
-  UT::PyFuncGraphFetcher get_py_fun_;
-};
-
-TEST_F(TestHWBatchNormGradSplit, test_split) {
-  get_py_fun_.SetDoResolve(true);
-  FuncGraphPtr g = get_py_fun_.CallAndParseRet("test_batch_norm_grad_split", "before");
-  EXPECT_NE(g, nullptr);
-  std::vector<int> shp_x{1, 64, 112, 112};
-  std::vector<int> shp_b{64};
-  auto x_abstract = std::make_shared<abstract::AbstractTensor>(kFloat32, shp_x);
-  auto b_abstract = std::make_shared<abstract::AbstractTensor>(kFloat32, shp_b);
-  AbstractBasePtrList args_spec_list{x_abstract, x_abstract, b_abstract, b_abstract, b_abstract, b_abstract};
-  auto kernel_graph = GetKernelGraph(g, args_spec_list);
-  EXPECT_NE(kernel_graph, nullptr);
-
-  auto optimizer = std::make_shared<opt::GraphOptimizer>();
-  auto pm = std::make_shared<opt::PassManager>();
-  auto pass = std::make_shared<opt::BatchNormGradSplit>();
-  pm->AddPass(pass);
-  optimizer->AddPassManager(pm);
-  auto new_graph = optimizer->Optimize(kernel_graph);
-
-  FuncGraphPtr g_after = get_py_fun_.CallAndParseRet("test_batch_norm_grad_split", "after");
-  EXPECT_TRUE(CheckEqualGraph(g_after, new_graph));
-}
-}  // namespace opt
-}  // namespace mindspore