zhengyuanhua
4 years ago
parent
6aba1f7fad
commit
08206700f9
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Subproject commit 6b802ec3cf711e9942a7e2a74f04a53647aae473
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Subproject commit deebd59d7ea015d7907db525596213492fe021b0
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Subproject commit 6a07f1a8b9b8b4630a5b60d9d8d02ec4a6314d68
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Subproject commit eb4d9f3aa4cd0b567e3af6149e48ca2b15a3339e
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/**
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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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#include "ir_build/atc_ir_common.h"
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#include "graph/testcase/ge_graph/graph_builder_utils.h"
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#define protected public
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#define private public
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#undef private
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#undef protected
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const string DATA = "Data";
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const string AddNYes = "AddNYes";
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const string NETOUTPUT = "NetOutput";
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using namespace ge;
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class UtestIrCommon : 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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static ge::OpDescPtr CreateOpDesc(const std::string &name, const std::string &type) {
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OpDescPtr op_desc = std::make_shared<ge::OpDesc>(name, type);
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ge::GeTensorDesc ge_tensor_desc;
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op_desc->AddInputDesc("input", ge_tensor_desc);
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op_desc->AddOutputDesc("output", ge_tensor_desc);
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return op_desc;
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}
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static ComputeGraphPtr BuildComputeGraph() {
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auto builder = ut::GraphBuilder("test");
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auto data1 = builder.AddNode("input1", DATA, 1, 1, FORMAT_NCHW, DT_FLOAT, {1, 2, 3});
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auto data2 = builder.AddNode("input2", DATA, 1, 1, FORMAT_NCHW, DT_FLOAT, {4, 10});
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auto addn1 = builder.AddNode("addn1", AddNYes, 2, 1);
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auto netoutput = builder.AddNode("netoutput", NETOUTPUT, 1, 0);
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builder.AddDataEdge(data1, 0, addn1, 0);
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builder.AddDataEdge(data2, 0, addn1, 1);
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builder.AddDataEdge(addn1, 0,netoutput, 0);
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return builder.GetGraph();
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}
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TEST(UtestIrCommon, update_data_op_shape) {
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ge::OpDescPtr op_desc = CreateOpDesc("Data", "Data");
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map<string, vector<int64_t>> shape_map;
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shape_map["Data"] = {{1,2}};
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Status ret = UpdateDataOpShape(op_desc, shape_map);
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EXPECT_EQ(ret, ge::SUCCESS);
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}
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TEST(UtestIrCommon, update_dynamic_shape_range_success) {
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ComputeGraphPtr graph = BuildComputeGraph();
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std::string input_shape_range = "input1:[1, 2~3, -1];input2:[3~5, 10]";
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Status ret = UpdateDynamicInputShapeRange(graph, input_shape_range);
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EXPECT_EQ(ret, ge::SUCCESS);
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}
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TEST(UtestIrCommon, update_dynamic_shape_range_failed) {
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ComputeGraphPtr graph = BuildComputeGraph();
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// 1
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std::string input_shape_range = "input1;[1, 2~3, -1]";
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Status ret = UpdateDynamicInputShapeRange(graph, input_shape_range);
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EXPECT_EQ(ret, ge::PARAM_INVALID);
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// 2
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input_shape_range = "input1:[1, 2~3, -1)";
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ret = UpdateDynamicInputShapeRange(graph, input_shape_range);
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EXPECT_EQ(ret, ge::PARAM_INVALID);
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//3
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input_shape_range = "input1:[1, 3~2, -1];input2:[3~5, 10]";
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ret = UpdateDynamicInputShapeRange(graph, input_shape_range);
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EXPECT_EQ(ret, ge::FAILED);
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//4
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input_shape_range = "input1:[1, 2~-3, -1]";
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ret = UpdateDynamicInputShapeRange(graph, input_shape_range);
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EXPECT_EQ(ret, ge::PARAM_INVALID);
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}
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