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77 lines
2.6 KiB
77 lines
2.6 KiB
/**
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* Copyright 2019-2020 Huawei Technologies Co., Ltd
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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#include <gtest/gtest.h>
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#define private public
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#define protected public
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#include "generator/ge_generator.h"
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#include "graph/utils/tensor_utils.h"
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using namespace std;
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namespace ge {
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class UtestGeGenerator : public testing::Test {
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protected:
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void SetUp() {}
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void TearDown() {}
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};
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TEST_F(UtestGeGenerator, test_build_single_op_offline) {
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GeTensorDesc tensor_desc(GeShape(), FORMAT_NCHW, DT_FLOAT);
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TensorUtils::SetSize(tensor_desc, 512);
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shared_ptr<OpDesc> op_desc = make_shared<OpDesc>("Add", "add");
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EXPECT_EQ(op_desc->AddInputDesc(tensor_desc), GRAPH_SUCCESS);
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EXPECT_EQ(op_desc->AddInputDesc(tensor_desc), GRAPH_SUCCESS);
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EXPECT_EQ(op_desc->AddOutputDesc(tensor_desc), GRAPH_SUCCESS);
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GeTensor tensor(tensor_desc);
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const vector<GeTensor> inputs = { tensor, tensor };
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const vector<GeTensor> outputs = { tensor };
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// not Initialize, impl is null.
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GeGenerator generator;
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EXPECT_EQ(generator.BuildSingleOpModel(op_desc, inputs, outputs, "offline_"), PARAM_INVALID);
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// const map<string, string> &options
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generator.Initialize({});
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EXPECT_EQ(generator.BuildSingleOpModel(op_desc, inputs, outputs, "offline_"), GE_GENERATOR_GRAPH_MANAGER_BUILD_GRAPH_FAILED);
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}
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TEST_F(UtestGeGenerator, test_build_single_op_online) {
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GeTensorDesc tensor_desc(GeShape(), FORMAT_NCHW, DT_FLOAT);
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TensorUtils::SetSize(tensor_desc, 512);
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shared_ptr<OpDesc> op_desc = make_shared<OpDesc>("Add", "add");
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EXPECT_EQ(op_desc->AddInputDesc(tensor_desc), GRAPH_SUCCESS);
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EXPECT_EQ(op_desc->AddInputDesc(tensor_desc), GRAPH_SUCCESS);
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EXPECT_EQ(op_desc->AddOutputDesc(tensor_desc), GRAPH_SUCCESS);
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GeTensor tensor(tensor_desc);
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const vector<GeTensor> inputs = { tensor, tensor };
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const vector<GeTensor> outputs = { tensor };
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// not Initialize, impl is null.
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GeGenerator generator;
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generator.Initialize({});
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ModelBufferData model_buffer;
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EXPECT_EQ(generator.BuildSingleOpModel(op_desc, inputs, outputs, ENGINE_SYS, model_buffer), GE_GENERATOR_GRAPH_MANAGER_BUILD_GRAPH_FAILED);
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}
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} // namespace ge
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