1 /*
2  * Copyright (c) 2024 Huawei Device Co., Ltd.
3  * Licensed under the Apache License, Version 2.0 (the "License");
4  * you may not use this file except in compliance with the License.
5  * You may obtain a copy of the License at
6  *
7  *     http://www.apache.org/licenses/LICENSE-2.0
8  *
9  * Unless required by applicable law or agreed to in writing, software
10  * distributed under the License is distributed on an "AS IS" BASIS,
11  * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
12  * See the License for the specific language governing permissions and
13  * limitations under the License.
14  */
15 
16 #include <vector>
17 #include <string>
18 #include <iostream>
19 #include "nncore_utils.h"
20 
21 using namespace testing::ext;
22 using namespace OHOS::NeuralNetworkRuntime::Test;
23 class GreaterTest : public testing::Test {};
24 
25 struct GreaterModel1 {
26     const std::vector<int32_t> tensor_shape = {3};
27     float input0Value[3] = {1, 2, 3};
28     float input1Value[3] = {4, 5, 6};
29     bool outputValue[3] = {0};
30 
31     OHNNOperandTest input0 = {OH_NN_FLOAT32, OH_NN_TENSOR, tensor_shape, input0Value, 3*sizeof(float)};
32     OHNNOperandTest input1 = {OH_NN_FLOAT32, OH_NN_TENSOR, tensor_shape, input1Value, 3*sizeof(float)};
33     OHNNOperandTest output = {OH_NN_BOOL, OH_NN_TENSOR, tensor_shape, outputValue, 3*sizeof(bool)};
34     OHNNGraphArgs graphArgs = {.operationType = OH_NN_OPS_GREATER,
35                                .operands = {input0, input1, output},
36                                .paramIndices = {},
37                                .inputIndices = {0, 1},
38                                .outputIndices = {2}};
39 };
40 
41 struct GreaterModel2 {
42     const std::vector<int32_t> tensor_shape = {1};
43     float input0Value[1] = {1};
44     float input1Value[1] = {1};
45     bool outputValue[1] = {0};
46 
47     OHNNOperandTest input0 = {OH_NN_FLOAT32, OH_NN_TENSOR, tensor_shape, input0Value, sizeof(float)};
48     OHNNOperandTest input1 = {OH_NN_FLOAT32, OH_NN_TENSOR, tensor_shape, input1Value, sizeof(float)};
49     OHNNOperandTest output = {OH_NN_BOOL, OH_NN_TENSOR, tensor_shape, outputValue, sizeof(bool)};
50     OHNNGraphArgs graphArgs = {.operationType = OH_NN_OPS_GREATER,
51                                .operands = {input0, input1, output},
52                                .paramIndices = {},
53                                .inputIndices = {0, 1},
54                                .outputIndices = {2}};
55 };
56 
57 struct GreaterModel3 {
58     const std::vector<int32_t> tensor_shape = {3};
59     const std::vector<int32_t> input1_shape = {4};
60     float input0Value[3] = {1, 2, 3};
61     float input1Value[4] = {4, 5, 6, 7};
62     bool outputValue[3] = {0};
63 
64     OHNNOperandTest input0 = {OH_NN_FLOAT32, OH_NN_TENSOR, tensor_shape, input0Value, 3*sizeof(float)};
65     OHNNOperandTest input1 = {OH_NN_FLOAT32, OH_NN_TENSOR, input1_shape, input1Value, 4*sizeof(float)};
66     OHNNOperandTest output = {OH_NN_BOOL, OH_NN_TENSOR, tensor_shape, outputValue, 4*sizeof(bool)};
67     OHNNGraphArgs graphArgs = {.operationType = OH_NN_OPS_GREATER,
68                                .operands = {input0, input1, output},
69                                .paramIndices = {},
70                                .inputIndices = {0, 1},
71                                .outputIndices = {2}};
72 };
73 
74 struct GreaterModel4 {
75     const std::vector<int32_t> tensor_shape = {};
76     float* input0Value = {};
77     float* input1Value = {};
78     bool* outputValue = {};
79 
80     OHNNOperandTest input0 = {OH_NN_FLOAT32, OH_NN_TENSOR, tensor_shape, input0Value, 0*sizeof(float)};
81     OHNNOperandTest input1 = {OH_NN_FLOAT32, OH_NN_TENSOR, tensor_shape, input1Value, 0*sizeof(float)};
82     OHNNOperandTest output = {OH_NN_BOOL, OH_NN_TENSOR, tensor_shape, outputValue, 0*sizeof(bool)};
83     OHNNGraphArgs graphArgs = {.operationType = OH_NN_OPS_GREATER,
84                                .operands = {input0, input1, output},
85                                .paramIndices = {},
86                                .inputIndices = {0, 1},
87                                .outputIndices = {2}};
88 };
89 
90 /**
91  * @tc.number : SUB_AI_NNRt_Func_North_Greater_Build_01
92  * @tc.desc: GreaterModel1模型build测试
93  * @tc.type: FUNC
94  */
HWTEST_F(GreaterTest, SUB_AI_NNRt_Func_North_Greater_Build_01, Function | MediumTest | Level1)95 HWTEST_F(GreaterTest, SUB_AI_NNRt_Func_North_Greater_Build_01, Function | MediumTest | Level1)
96 {
97     OH_NNModel *model = OH_NNModel_Construct();
98     EXPECT_NE(nullptr, model);
99 
100     GreaterModel1 greaterModel;
101     OHNNGraphArgs graphArgs = greaterModel.graphArgs;
102     EXPECT_EQ(OH_NN_SUCCESS, BuildSingleOpGraph(model, graphArgs));
103 
104     OH_NNCompilation *compilation = OH_NNCompilation_Construct(model);
105     EXPECT_NE(nullptr, compilation);
106 
107     OHNNCompileParam compileParam{
108         .performanceMode = OH_NN_PERFORMANCE_HIGH,
109         .priority = OH_NN_PRIORITY_HIGH,
110     };
111     EXPECT_EQ(OH_NN_SUCCESS, CompileGraphMock(compilation, compileParam));
112 
113     OH_NNExecutor *executor = OH_NNExecutor_Construct(compilation);
114     EXPECT_NE(nullptr, executor);
115 
116     Free(model, compilation, executor);
117 }
118 
119 /**
120  * @tc.number : SUB_AI_NNRt_Func_North_Greater_Build_02
121  * @tc.desc: GreaterModel2模型build测试
122  * @tc.type: FUNC
123  */
HWTEST_F(GreaterTest, SUB_AI_NNRt_Func_North_Greater_Build_02, Function | MediumTest | Level1)124 HWTEST_F(GreaterTest, SUB_AI_NNRt_Func_North_Greater_Build_02, Function | MediumTest | Level1)
125 {
126     OH_NNModel *model = OH_NNModel_Construct();
127     EXPECT_NE(nullptr, model);
128 
129     GreaterModel2 greaterModel;
130     OHNNGraphArgs graphArgs = greaterModel.graphArgs;
131     EXPECT_EQ(OH_NN_SUCCESS, BuildSingleOpGraph(model, graphArgs));
132 
133     OH_NNCompilation *compilation = OH_NNCompilation_Construct(model);
134     EXPECT_NE(nullptr, compilation);
135 
136     OHNNCompileParam compileParam{
137         .performanceMode = OH_NN_PERFORMANCE_HIGH,
138         .priority = OH_NN_PRIORITY_HIGH,
139     };
140     EXPECT_EQ(OH_NN_SUCCESS, CompileGraphMock(compilation, compileParam));
141 
142     OH_NNExecutor *executor = OH_NNExecutor_Construct(compilation);
143     EXPECT_NE(nullptr, executor);
144 
145     Free(model, compilation, executor);
146 }
147 
148 /**
149  * @tc.number : SUB_AI_NNRt_Func_North_Greater_Build_03
150  * @tc.desc: GreaterModel3模型build测试
151  * @tc.type: FUNC
152  */
HWTEST_F(GreaterTest, SUB_AI_NNRt_Func_North_Greater_Build_03, Function | MediumTest | Level1)153 HWTEST_F(GreaterTest, SUB_AI_NNRt_Func_North_Greater_Build_03, Function | MediumTest | Level1)
154 {
155     OH_NNModel *model = OH_NNModel_Construct();
156     EXPECT_NE(nullptr, model);
157 
158     GreaterModel3 greaterModel;
159     OHNNGraphArgs graphArgs = greaterModel.graphArgs;
160     EXPECT_EQ(OH_NN_SUCCESS, BuildSingleOpGraph(model, graphArgs));
161 
162     OH_NNCompilation *compilation = OH_NNCompilation_Construct(model);
163     EXPECT_NE(nullptr, compilation);
164 
165     OHNNCompileParam compileParam{
166         .performanceMode = OH_NN_PERFORMANCE_HIGH,
167         .priority = OH_NN_PRIORITY_HIGH,
168     };
169     EXPECT_EQ(OH_NN_SUCCESS, CompileGraphMock(compilation, compileParam));
170 
171     OH_NNExecutor *executor = OH_NNExecutor_Construct(compilation);
172     EXPECT_NE(nullptr, executor);
173 
174     Free(model, compilation, executor);
175 }
176 
177 /**
178  * @tc.number : SUB_AI_NNRt_Func_North_Greater_Build_04
179  * @tc.desc: GreaterModel4模型build测试
180  * @tc.type: FUNC
181  */
HWTEST_F(GreaterTest, SUB_AI_NNRt_Func_North_Greater_Build_04, Function | MediumTest | Level1)182 HWTEST_F(GreaterTest, SUB_AI_NNRt_Func_North_Greater_Build_04, Function | MediumTest | Level1)
183 {
184     OH_NNModel *model = OH_NNModel_Construct();
185     EXPECT_NE(nullptr, model);
186 
187     GreaterModel4 greaterModel;
188     OHNNGraphArgs graphArgs = greaterModel.graphArgs;
189     EXPECT_EQ(OH_NN_SUCCESS, BuildSingleOpGraph(model, graphArgs));
190 
191     OH_NNCompilation *compilation = OH_NNCompilation_Construct(model);
192     EXPECT_NE(nullptr, compilation);
193 
194     OHNNCompileParam compileParam{
195         .performanceMode = OH_NN_PERFORMANCE_HIGH,
196         .priority = OH_NN_PRIORITY_HIGH,
197     };
198     EXPECT_EQ(OH_NN_SUCCESS, CompileGraphMock(compilation, compileParam));
199 
200     OH_NNExecutor *executor = OH_NNExecutor_Construct(compilation);
201     EXPECT_NE(nullptr, executor);
202 
203     Free(model, compilation, executor);
204 }
205 
206 /**
207  * @tc.number : SUB_AI_NNRt_Func_North_Greater_Build_05
208  * @tc.desc: GreaterModel1模型输入Tensor+1进行build测试
209  * @tc.type: FUNC
210  */
HWTEST_F(GreaterTest, SUB_AI_NNRt_Func_North_Greater_Build_05, Function | MediumTest | Level2)211 HWTEST_F(GreaterTest, SUB_AI_NNRt_Func_North_Greater_Build_05, Function | MediumTest | Level2)
212 {
213     OH_NNModel *model = OH_NNModel_Construct();
214     EXPECT_NE(nullptr, model);
215 
216     GreaterModel2 greaterModel;
217     OHNNGraphArgs graphArgs = greaterModel.graphArgs;
218     graphArgs.operands = {greaterModel.input0, greaterModel.input1, greaterModel.input1, greaterModel.output};
219     graphArgs.inputIndices = {0, 1, 2};
220     graphArgs.outputIndices = {3};
221     EXPECT_EQ(OH_NN_INVALID_PARAMETER, BuildSingleOpGraph(model, graphArgs));
222 
223     Free(model, nullptr, nullptr);
224 }
225 
226 /**
227  * @tc.number : SUB_AI_NNRt_Func_North_Greater_Build_06
228  * @tc.desc: GreaterModel1模型输出Tensor+1进行build测试
229  * @tc.type: FUNC
230  */
HWTEST_F(GreaterTest, SUB_AI_NNRt_Func_North_Greater_Build_06, Function | MediumTest | Level2)231 HWTEST_F(GreaterTest, SUB_AI_NNRt_Func_North_Greater_Build_06, Function | MediumTest | Level2)
232 {
233     OH_NNModel *model = OH_NNModel_Construct();
234     EXPECT_NE(nullptr, model);
235 
236     GreaterModel2 greaterModel;
237     OHNNGraphArgs graphArgs = greaterModel.graphArgs;
238     graphArgs.operands = {greaterModel.input0, greaterModel.input1, greaterModel.output, greaterModel.output};
239     graphArgs.inputIndices = {0, 1};
240     graphArgs.outputIndices = {2, 3};
241     EXPECT_EQ(OH_NN_INVALID_PARAMETER, BuildSingleOpGraph(model, graphArgs));
242 
243     Free(model, nullptr, nullptr);
244 }
245 
246 /**
247  * @tc.number : SUB_AI_NNRt_Func_North_Greater_Build_07
248  * @tc.desc: GreaterModel1模型传入非法参数进行build测试
249  * @tc.type: FUNC
250  */
HWTEST_F(GreaterTest, SUB_AI_NNRt_Func_North_Greater_Build_07, Function | MediumTest | Level2)251 HWTEST_F(GreaterTest, SUB_AI_NNRt_Func_North_Greater_Build_07, Function | MediumTest | Level2)
252 {
253     OH_NNModel *model = OH_NNModel_Construct();
254     EXPECT_NE(nullptr, model);
255 
256     GreaterModel2 greaterModel;
257     OHNNGraphArgs graphArgs = greaterModel.graphArgs;
258 
259     int8_t activationValue = OH_NN_FUSED_NONE;
260     OHNNOperandTest activation = {OH_NN_INT8, OH_NN_ADD_ACTIVATIONTYPE, {}, &activationValue, sizeof(int8_t)};
261     graphArgs.operands = {greaterModel.input0, greaterModel.input1, greaterModel.output, activation};
262     graphArgs.paramIndices = {3};
263     EXPECT_EQ(OH_NN_INVALID_PARAMETER, BuildSingleOpGraph(model, graphArgs));
264 
265     Free(model, nullptr, nullptr);
266 }
267 
268 /**
269  * @tc.number : SUB_AI_NNRt_Func_North_Greater_Model_Finish_01
270  * @tc.desc: 模型构图，未添加操作数
271  * @tc.type: FUNC
272  */
HWTEST_F(GreaterTest, SUB_AI_NNRt_Func_North_Greater_Model_Finish_01, Function | MediumTest | Level2)273 HWTEST_F(GreaterTest, SUB_AI_NNRt_Func_North_Greater_Model_Finish_01, Function | MediumTest | Level2)
274 {
275     OH_NNModel *model = OH_NNModel_Construct();
276     EXPECT_NE(nullptr, model);
277 
278     OHNNGraphArgs graphArgs;
279     EXPECT_EQ(OH_NN_INVALID_PARAMETER, SingleModelBuildEndStep(model, graphArgs));
280 
281     Free(model, nullptr, nullptr);
282 }
283 
284 /**
285  * @tc.number : SUB_AI_NNRt_Func_North_Greater_Model_Finish_02
286  * @tc.desc: 模型构图，未设置输入输出
287  * @tc.type: FUNC
288  */
HWTEST_F(GreaterTest, SUB_AI_NNRt_Func_North_Greater_Model_Finish_02, Function | MediumTest | Level2)289 HWTEST_F(GreaterTest, SUB_AI_NNRt_Func_North_Greater_Model_Finish_02, Function | MediumTest | Level2)
290 {
291     OH_NNModel *model = OH_NNModel_Construct();
292     EXPECT_NE(nullptr, model);
293 
294     GreaterModel1 greaterModel;
295     OHNNGraphArgs graphArgs = greaterModel.graphArgs;
296     graphArgs.specifyIO = false;
297     EXPECT_EQ(OH_NN_OPERATION_FORBIDDEN, BuildSingleOpGraph(model, graphArgs));
298 
299     Free(model, nullptr, nullptr);
300 }
301 
302 /**
303  * @tc.number : SUB_AI_NNRt_Func_North_Greater_Model_Finish_03
304  * @tc.desc: 模型构图，设置输入输出，构图成功
305  * @tc.type: FUNC
306  */
HWTEST_F(GreaterTest, SUB_AI_NNRt_Func_North_Greater_Model_Finish_03, Function | MediumTest | Level1)307 HWTEST_F(GreaterTest, SUB_AI_NNRt_Func_North_Greater_Model_Finish_03, Function | MediumTest | Level1)
308 {
309     OH_NNModel *model = OH_NNModel_Construct();
310     EXPECT_NE(nullptr, model);
311 
312     GreaterModel1 greaterModel;
313     OHNNGraphArgs graphArgs = greaterModel.graphArgs;
314     EXPECT_EQ(OH_NN_SUCCESS, BuildSingleOpGraph(model, graphArgs));
315 
316     Free(model, nullptr, nullptr);
317 }
318 
319 /**
320  * @tc.number : SUB_AI_NNRt_Func_North_Greater_Model_SetOperandValue_01
321  * @tc.desc: 设置操作数值，操作数不存在
322  * @tc.type: FUNC
323  */
HWTEST_F(GreaterTest, SUB_AI_NNRt_Func_North_Greater_Model_SetOperandValue_01, Function | MediumTest | Level2)324 HWTEST_F(GreaterTest, SUB_AI_NNRt_Func_North_Greater_Model_SetOperandValue_01, Function | MediumTest | Level2)
325 {
326     OH_NNModel *model = OH_NNModel_Construct();
327     EXPECT_NE(nullptr, model);
328 
329     GreaterModel1 greaterModel;
330     OHNNGraphArgs graphArgs = greaterModel.graphArgs;
331 
332     NN_TensorDesc* tensorDesc = nullptr;
333     std::vector<NN_TensorDesc*> tensorDescVec;
334 
335     for (size_t i = 0; i < graphArgs.operands.size(); i++) {
336         const OHNNOperandTest &operandTem = graphArgs.operands[i];
337         tensorDesc = createTensorDesc(operandTem.shape.data(),
338                                       (uint32_t) operandTem.shape.size(),
339                                       operandTem.dataType, operandTem.format);
340         tensorDescVec.emplace_back(tensorDesc);
341         EXPECT_EQ(OH_NN_SUCCESS, OH_NNModel_AddTensorToModel(model, tensorDesc));
342         EXPECT_EQ(OH_NN_SUCCESS, OH_NNModel_SetTensorType(model, i, operandTem.type));
343 
344         if (std::find(graphArgs.paramIndices.begin(), graphArgs.paramIndices.end(), i) !=
345             graphArgs.paramIndices.end()) {
346             EXPECT_EQ(OH_NN_INVALID_PARAMETER, OH_NNModel_SetTensorData(
347                 model, 1000+i, operandTem.data, operandTem.length));
348         }
349     }
350 
351     FreeTensorDescVec(tensorDescVec);
352     Free(model, nullptr, nullptr);
353 }
354 
355 /**
356  * @tc.number : SUB_AI_NNRt_Func_North_Greater_Model_SetOperandValue_02
357  * @tc.desc: 设置操作数值，buufer为nullptr
358  * @tc.type: FUNC
359  */
HWTEST_F(GreaterTest, SUB_AI_NNRt_Func_North_Greater_Model_SetOperandValue_02, Function | MediumTest | Level2)360 HWTEST_F(GreaterTest, SUB_AI_NNRt_Func_North_Greater_Model_SetOperandValue_02, Function | MediumTest | Level2)
361 {
362     OH_NNModel *model = OH_NNModel_Construct();
363     EXPECT_NE(nullptr, model);
364 
365     GreaterModel1 greaterModel;
366     OHNNGraphArgs graphArgs = greaterModel.graphArgs;
367 
368     NN_TensorDesc* tensorDesc = nullptr;
369     std::vector<NN_TensorDesc*> tensorDescVec;
370 
371     for (size_t i = 0; i < graphArgs.operands.size(); i++) {
372         const OHNNOperandTest &operandTem = graphArgs.operands[i];
373         tensorDesc = createTensorDesc(operandTem.shape.data(),
374                                       (uint32_t) operandTem.shape.size(),
375                                       operandTem.dataType, operandTem.format);
376         tensorDescVec.emplace_back(tensorDesc);
377         EXPECT_EQ(OH_NN_SUCCESS, OH_NNModel_AddTensorToModel(model, tensorDesc));
378         EXPECT_EQ(OH_NN_SUCCESS, OH_NNModel_SetTensorType(model, i, operandTem.type));
379 
380         if (std::find(graphArgs.paramIndices.begin(), graphArgs.paramIndices.end(), i) !=
381             graphArgs.paramIndices.end()) {
382             EXPECT_EQ(OH_NN_INVALID_PARAMETER, OH_NNModel_SetTensorData(model, i, nullptr, operandTem.length));
383         }
384     }
385 
386     FreeTensorDescVec(tensorDescVec);
387     Free(model, nullptr, nullptr);
388 }
389 
390 /**
391  * @tc.number : SUB_AI_NNRt_Func_North_Greater_Model_SetOperandValue_03
392  * @tc.desc: 设置操作数值，length为0
393  * @tc.type: FUNC
394  */
HWTEST_F(GreaterTest, SUB_AI_NNRt_Func_North_Greater_Model_SetOperandValue_03, Function | MediumTest | Level2)395 HWTEST_F(GreaterTest, SUB_AI_NNRt_Func_North_Greater_Model_SetOperandValue_03, Function | MediumTest | Level2)
396 {
397     OH_NNModel *model = OH_NNModel_Construct();
398     EXPECT_NE(nullptr, model);
399 
400     GreaterModel1 greaterModel;
401     OHNNGraphArgs graphArgs = greaterModel.graphArgs;
402 
403     NN_TensorDesc* tensorDesc = nullptr;
404     std::vector<NN_TensorDesc*> tensorDescVec;
405 
406     for (size_t i = 0; i < graphArgs.operands.size(); i++) {
407         const OHNNOperandTest &operandTem = graphArgs.operands[i];
408         tensorDesc = createTensorDesc(operandTem.shape.data(),
409                                       (uint32_t) operandTem.shape.size(),
410                                       operandTem.dataType, operandTem.format);
411         tensorDescVec.emplace_back(tensorDesc);
412         EXPECT_EQ(OH_NN_SUCCESS, OH_NNModel_AddTensorToModel(model, tensorDesc));
413         EXPECT_EQ(OH_NN_SUCCESS, OH_NNModel_SetTensorType(model, i, operandTem.type));
414 
415         if (std::find(graphArgs.paramIndices.begin(), graphArgs.paramIndices.end(), i) !=
416             graphArgs.paramIndices.end()) {
417             EXPECT_EQ(OH_NN_INVALID_PARAMETER, OH_NNModel_SetTensorData(model, 1000+i, operandTem.data, 0));
418         }
419     }
420 
421     FreeTensorDescVec(tensorDescVec);
422     Free(model, nullptr, nullptr);
423 }
424 
425 /**
426  * @tc.number : SUB_AI_NNRt_Func_North_Greater_Model_SpecifyInputsAndOutputs_01
427  * @tc.desc: 设置输入输出，inputIndices为nullptr
428  * @tc.type: FUNC
429  */
HWTEST_F(GreaterTest, SUB_AI_NNRt_Func_North_Greater_Model_SpecifyInputsAndOutputs_01, Function | MediumTest | Level2)430 HWTEST_F(GreaterTest, SUB_AI_NNRt_Func_North_Greater_Model_SpecifyInputsAndOutputs_01, Function | MediumTest | Level2)
431 {
432     OH_NNModel *model = OH_NNModel_Construct();
433     EXPECT_NE(nullptr, model);
434 
435     GreaterModel1 greaterModel;
436     OHNNGraphArgs graphArgs = greaterModel.graphArgs;
437     graphArgs.specifyIO = false;
438     graphArgs.build = false;
439     EXPECT_EQ(OH_NN_SUCCESS, BuildSingleOpGraph(model, graphArgs));
440 
441     auto inputIndices = TransformUInt32Array(graphArgs.inputIndices);
442     auto outputIndices = TransformUInt32Array(graphArgs.outputIndices);
443     EXPECT_EQ(OH_NN_INVALID_PARAMETER, OH_NNModel_SpecifyInputsAndOutputs(model, nullptr, &outputIndices));
444 
445     Free(model, nullptr, nullptr);
446 }
447 
448 /**
449  * @tc.number : SUB_AI_NNRt_Func_North_Greater_Model_SpecifyInputsAndOutputs_02
450  * @tc.desc: 设置输入输出，inputindices中data为nullptr
451  * @tc.type: FUNC
452  */
HWTEST_F(GreaterTest, SUB_AI_NNRt_Func_North_Greater_Model_SpecifyInputsAndOutputs_02, Function | MediumTest | Level2)453 HWTEST_F(GreaterTest, SUB_AI_NNRt_Func_North_Greater_Model_SpecifyInputsAndOutputs_02, Function | MediumTest | Level2)
454 {
455     OH_NNModel *model = OH_NNModel_Construct();
456     EXPECT_NE(nullptr, model);
457 
458     GreaterModel1 greaterModel;
459     OHNNGraphArgs graphArgs = greaterModel.graphArgs;
460     graphArgs.specifyIO = false;
461     graphArgs.build = false;
462     EXPECT_EQ(OH_NN_SUCCESS, BuildSingleOpGraph(model, graphArgs));
463 
464     auto inputIndices = TransformUInt32Array(graphArgs.inputIndices);
465     auto outputIndices = TransformUInt32Array(graphArgs.outputIndices);
466     inputIndices.data = nullptr;
467     EXPECT_EQ(OH_NN_INVALID_PARAMETER, OH_NNModel_SpecifyInputsAndOutputs(model, &inputIndices, &outputIndices));
468 
469     Free(model, nullptr, nullptr);
470 }
471 
472 /**
473  * @tc.number : SUB_AI_NNRt_Func_North_Greater_Model_SpecifyInputsAndOutputs_03
474  * @tc.desc: 设置输入输出，inputindices中data对应序号不存在
475  * @tc.type: FUNC
476  */
HWTEST_F(GreaterTest, SUB_AI_NNRt_Func_North_Greater_Model_SpecifyInputsAndOutputs_03, Function | MediumTest | Level2)477 HWTEST_F(GreaterTest, SUB_AI_NNRt_Func_North_Greater_Model_SpecifyInputsAndOutputs_03, Function | MediumTest | Level2)
478 {
479     OH_NNModel *model = OH_NNModel_Construct();
480     EXPECT_NE(nullptr, model);
481 
482     GreaterModel1 greaterModel;
483     OHNNGraphArgs graphArgs = greaterModel.graphArgs;
484     graphArgs.specifyIO = false;
485     graphArgs.build = false;
486     EXPECT_EQ(OH_NN_SUCCESS, BuildSingleOpGraph(model, graphArgs));
487 
488     graphArgs.inputIndices = {100000};
489     auto inputIndices = TransformUInt32Array(graphArgs.inputIndices);
490     auto outputIndices = TransformUInt32Array(graphArgs.outputIndices);
491     EXPECT_EQ(OH_NN_INVALID_PARAMETER, OH_NNModel_SpecifyInputsAndOutputs(model, &inputIndices, &outputIndices));
492 
493     Free(model, nullptr, nullptr);
494 }
495 
496 /**
497  * @tc.number : SUB_AI_NNRt_Func_North_Greater_Model_SpecifyInputsAndOutputs_04
498  * @tc.desc: 设置输入输出，inputindices中size为0
499  * @tc.type: FUNC
500  */
HWTEST_F(GreaterTest, SUB_AI_NNRt_Func_North_Greater_Model_SpecifyInputsAndOutputs_04, Function | MediumTest | Level2)501 HWTEST_F(GreaterTest, SUB_AI_NNRt_Func_North_Greater_Model_SpecifyInputsAndOutputs_04, Function | MediumTest | Level2)
502 {
503     OH_NNModel *model = OH_NNModel_Construct();
504     EXPECT_NE(nullptr, model);
505 
506     GreaterModel1 greaterModel;
507     OHNNGraphArgs graphArgs = greaterModel.graphArgs;
508     graphArgs.specifyIO = false;
509     graphArgs.build = false;
510     EXPECT_EQ(OH_NN_SUCCESS, BuildSingleOpGraph(model, graphArgs));
511 
512     auto inputIndices = TransformUInt32Array(graphArgs.inputIndices);
513     auto outputIndices = TransformUInt32Array(graphArgs.outputIndices);
514     inputIndices.size = 0;
515     EXPECT_EQ(OH_NN_INVALID_PARAMETER, OH_NNModel_SpecifyInputsAndOutputs(model, &inputIndices, &outputIndices));
516 
517     Free(model, nullptr, nullptr);
518 }
519 
520 /**
521  * @tc.number : SUB_AI_NNRt_Func_North_Greater_Model_SpecifyInputsAndOutputs_05
522  * @tc.desc: 设置输入输出，outputindices为nullptr
523  * @tc.type: FUNC
524  */
HWTEST_F(GreaterTest, SUB_AI_NNRt_Func_North_Greater_Model_SpecifyInputsAndOutputs_05, Function | MediumTest | Level2)525 HWTEST_F(GreaterTest, SUB_AI_NNRt_Func_North_Greater_Model_SpecifyInputsAndOutputs_05, Function | MediumTest | Level2)
526 {
527     OH_NNModel *model = OH_NNModel_Construct();
528     EXPECT_NE(nullptr, model);
529 
530     GreaterModel1 greaterModel;
531     OHNNGraphArgs graphArgs = greaterModel.graphArgs;
532     graphArgs.specifyIO = false;
533     graphArgs.build = false;
534     EXPECT_EQ(OH_NN_SUCCESS, BuildSingleOpGraph(model, graphArgs));
535 
536     auto inputIndices = TransformUInt32Array(graphArgs.inputIndices);
537     auto outputIndices = TransformUInt32Array(graphArgs.outputIndices);
538     EXPECT_EQ(OH_NN_INVALID_PARAMETER, OH_NNModel_SpecifyInputsAndOutputs(model, &inputIndices, nullptr));
539 
540     Free(model, nullptr, nullptr);
541 }
542 
543 /**
544  * @tc.number : SUB_AI_NNRt_Func_North_Greater_Model_SpecifyInputsAndOutputs_06
545  * @tc.desc: 设置输入输出，outputindices中data为nullptr
546  * @tc.type: FUNC
547  */
HWTEST_F(GreaterTest, SUB_AI_NNRt_Func_North_Greater_Model_SpecifyInputsAndOutputs_06, Function | MediumTest | Level2)548 HWTEST_F(GreaterTest, SUB_AI_NNRt_Func_North_Greater_Model_SpecifyInputsAndOutputs_06, Function | MediumTest | Level2)
549 {
550     OH_NNModel *model = OH_NNModel_Construct();
551     EXPECT_NE(nullptr, model);
552 
553     GreaterModel1 greaterModel;
554     OHNNGraphArgs graphArgs = greaterModel.graphArgs;
555     graphArgs.specifyIO = false;
556     graphArgs.build = false;
557     EXPECT_EQ(OH_NN_SUCCESS, BuildSingleOpGraph(model, graphArgs));
558 
559     auto inputIndices = TransformUInt32Array(graphArgs.inputIndices);
560     auto outputIndices = TransformUInt32Array(graphArgs.outputIndices);
561     outputIndices.data = nullptr;
562     EXPECT_EQ(OH_NN_INVALID_PARAMETER, OH_NNModel_SpecifyInputsAndOutputs(model, &inputIndices, &outputIndices));
563 
564     Free(model, nullptr, nullptr);
565 }
566 
567 /**
568  * @tc.number : SUB_AI_NNRt_Func_North_Greater_Model_SpecifyInputsAndOutputs_07
569  * @tc.desc: 设置输入输出，outputindices中data对应序号不存在
570  * @tc.type: FUNC
571  */
HWTEST_F(GreaterTest, SUB_AI_NNRt_Func_North_Greater_Model_SpecifyInputsAndOutputs_07, Function | MediumTest | Level2)572 HWTEST_F(GreaterTest, SUB_AI_NNRt_Func_North_Greater_Model_SpecifyInputsAndOutputs_07, Function | MediumTest | Level2)
573 {
574     OH_NNModel *model = OH_NNModel_Construct();
575     EXPECT_NE(nullptr, model);
576 
577     GreaterModel1 greaterModel;
578     OHNNGraphArgs graphArgs = greaterModel.graphArgs;
579     graphArgs.specifyIO = false;
580     graphArgs.build = false;
581     EXPECT_EQ(OH_NN_SUCCESS, BuildSingleOpGraph(model, graphArgs));
582 
583     graphArgs.outputIndices = {100000};
584     auto inputIndices = TransformUInt32Array(graphArgs.inputIndices);
585     auto outputIndices = TransformUInt32Array(graphArgs.outputIndices);
586     EXPECT_EQ(OH_NN_INVALID_PARAMETER, OH_NNModel_SpecifyInputsAndOutputs(model, &inputIndices, &outputIndices));
587 
588     Free(model, nullptr, nullptr);
589 }
590 
591 /**
592  * @tc.number : SUB_AI_NNRt_Func_North_Greater_Model_SpecifyInputsAndOutputs_08
593  * @tc.desc: 设置输入输出，outputindices中size为0
594  * @tc.type: FUNC
595  */
HWTEST_F(GreaterTest, SUB_AI_NNRt_Func_North_Greater_Model_SpecifyInputsAndOutputs_08, Function | MediumTest | Level2)596 HWTEST_F(GreaterTest, SUB_AI_NNRt_Func_North_Greater_Model_SpecifyInputsAndOutputs_08, Function | MediumTest | Level2)
597 {
598     OH_NNModel *model = OH_NNModel_Construct();
599     EXPECT_NE(nullptr, model);
600 
601     GreaterModel1 greaterModel;
602     OHNNGraphArgs graphArgs = greaterModel.graphArgs;
603     graphArgs.specifyIO = false;
604     graphArgs.build = false;
605     EXPECT_EQ(OH_NN_SUCCESS, BuildSingleOpGraph(model, graphArgs));
606 
607     auto inputIndices = TransformUInt32Array(graphArgs.inputIndices);
608     auto outputIndices = TransformUInt32Array(graphArgs.outputIndices);
609     outputIndices.size = 0;
610     EXPECT_EQ(OH_NN_INVALID_PARAMETER, OH_NNModel_SpecifyInputsAndOutputs(model, &inputIndices, &outputIndices));
611 
612     Free(model, nullptr, nullptr);
613 }
614 
615 /**
616  * @tc.number : SUB_AI_NNRt_Func_North_Greater_Model_AddOperation_01
617  * @tc.desc: 添加算子，paramindices为nullptr
618  * @tc.type: FUNC
619  */
HWTEST_F(GreaterTest, SUB_AI_NNRt_Func_North_Greater_Model_AddOperation_01, Function | MediumTest | Level2)620 HWTEST_F(GreaterTest, SUB_AI_NNRt_Func_North_Greater_Model_AddOperation_01, Function | MediumTest | Level2)
621 {
622     OH_NNModel *model = OH_NNModel_Construct();
623     EXPECT_NE(nullptr, model);
624 
625     GreaterModel1 greaterModel;
626     OHNNGraphArgs graphArgs = greaterModel.graphArgs;
627     graphArgs.addOperation = false;
628     graphArgs.specifyIO = false;
629     graphArgs.build = false;
630     EXPECT_EQ(OH_NN_SUCCESS, BuildSingleOpGraph(model, graphArgs));
631 
632     auto inputIndices = TransformUInt32Array(graphArgs.inputIndices);
633     auto outputIndices = TransformUInt32Array(graphArgs.outputIndices);
634     EXPECT_EQ(OH_NN_INVALID_PARAMETER, OH_NNModel_AddOperation(model, graphArgs.operationType,
635                                                                nullptr, &inputIndices, &outputIndices));
636 
637     Free(model, nullptr, nullptr);
638 }
639 
640 /**
641  * @tc.number : SUB_AI_NNRt_Func_North_Greater_Model_AddOperation_02
642  * @tc.desc: 添加算子，paramindices中data为nullptr
643  * @tc.type: FUNC
644  */
HWTEST_F(GreaterTest, SUB_AI_NNRt_Func_North_Greater_Model_AddOperation_02, Function | MediumTest | Level2)645 HWTEST_F(GreaterTest, SUB_AI_NNRt_Func_North_Greater_Model_AddOperation_02, Function | MediumTest | Level2)
646 {
647     OH_NNModel *model = OH_NNModel_Construct();
648     EXPECT_NE(nullptr, model);
649 
650     GreaterModel1 greaterModel;
651     OHNNGraphArgs graphArgs = greaterModel.graphArgs;
652     graphArgs.addOperation = false;
653     graphArgs.specifyIO = false;
654     graphArgs.build = false;
655     EXPECT_EQ(OH_NN_SUCCESS, BuildSingleOpGraph(model, graphArgs));
656 
657     auto paramIndices = TransformUInt32Array(graphArgs.paramIndices);
658     auto inputIndices = TransformUInt32Array(graphArgs.inputIndices);
659     auto outputIndices = TransformUInt32Array(graphArgs.outputIndices);
660     paramIndices.data = nullptr;
661     EXPECT_EQ(OH_NN_SUCCESS, OH_NNModel_AddOperation(model, graphArgs.operationType,
662                                                      &paramIndices, &inputIndices, &outputIndices));
663 
664     Free(model, nullptr, nullptr);
665 }
666 
667 /**
668  * @tc.number : SUB_AI_NNRt_Func_North_Greater_Model_AddOperation_03
669  * @tc.desc: 添加算子，paramindices中data对应序号不存在
670  * @tc.type: FUNC
671  */
HWTEST_F(GreaterTest, SUB_AI_NNRt_Func_North_Greater_Model_AddOperation_03, Function | MediumTest | Level2)672 HWTEST_F(GreaterTest, SUB_AI_NNRt_Func_North_Greater_Model_AddOperation_03, Function | MediumTest | Level2)
673 {
674     OH_NNModel *model = OH_NNModel_Construct();
675     EXPECT_NE(nullptr, model);
676 
677     GreaterModel1 greaterModel;
678     OHNNGraphArgs graphArgs = greaterModel.graphArgs;
679     graphArgs.addOperation = false;
680     graphArgs.specifyIO = false;
681     graphArgs.build = false;
682     EXPECT_EQ(OH_NN_SUCCESS, BuildSingleOpGraph(model, graphArgs));
683 
684     graphArgs.paramIndices = {100000};
685     auto paramIndices = TransformUInt32Array(graphArgs.paramIndices);
686     auto inputIndices = TransformUInt32Array(graphArgs.inputIndices);
687     auto outputIndices = TransformUInt32Array(graphArgs.outputIndices);
688     EXPECT_EQ(OH_NN_INVALID_PARAMETER, OH_NNModel_AddOperation(model, graphArgs.operationType,
689                                                                &paramIndices, &inputIndices, &outputIndices));
690 
691     Free(model, nullptr, nullptr);
692 }
693 
694 /**
695  * @tc.number : SUB_AI_NNRt_Func_North_Greater_Model_AddOperation_04
696  * @tc.desc: 添加算子，paramindices中size为0
697  * @tc.type: FUNC
698  */
HWTEST_F(GreaterTest, SUB_AI_NNRt_Func_North_Greater_Model_AddOperation_04, Function | MediumTest | Level2)699 HWTEST_F(GreaterTest, SUB_AI_NNRt_Func_North_Greater_Model_AddOperation_04, Function | MediumTest | Level2)
700 {
701     OH_NNModel *model = OH_NNModel_Construct();
702     EXPECT_NE(nullptr, model);
703 
704     GreaterModel1 greaterModel;
705     OHNNGraphArgs graphArgs = greaterModel.graphArgs;
706     graphArgs.addOperation = false;
707     graphArgs.specifyIO = false;
708     graphArgs.build = false;
709     EXPECT_EQ(OH_NN_SUCCESS, BuildSingleOpGraph(model, graphArgs));
710 
711     auto paramIndices = TransformUInt32Array(graphArgs.paramIndices);
712     auto inputIndices = TransformUInt32Array(graphArgs.inputIndices);
713     auto outputIndices = TransformUInt32Array(graphArgs.outputIndices);
714     paramIndices.size = 0;
715     EXPECT_EQ(OH_NN_SUCCESS, OH_NNModel_AddOperation(model, graphArgs.operationType,
716                                                      &paramIndices, &inputIndices, &outputIndices));
717 
718     Free(model, nullptr, nullptr);
719 }
720 
721 /**
722  * @tc.number : SUB_AI_NNRt_Func_North_Greater_Model_AddOperation_05
723  * @tc.desc: 添加算子，inputindices为nullptr
724  * @tc.type: FUNC
725  */
HWTEST_F(GreaterTest, SUB_AI_NNRt_Func_North_Greater_Model_AddOperation_05, Function | MediumTest | Level2)726 HWTEST_F(GreaterTest, SUB_AI_NNRt_Func_North_Greater_Model_AddOperation_05, Function | MediumTest | Level2)
727 {
728     OH_NNModel *model = OH_NNModel_Construct();
729     EXPECT_NE(nullptr, model);
730 
731     GreaterModel1 greaterModel;
732     OHNNGraphArgs graphArgs = greaterModel.graphArgs;
733     graphArgs.addOperation = false;
734     graphArgs.specifyIO = false;
735     graphArgs.build = false;
736     EXPECT_EQ(OH_NN_SUCCESS, BuildSingleOpGraph(model, graphArgs));
737 
738     auto paramIndices = TransformUInt32Array(graphArgs.paramIndices);
739     auto outputIndices = TransformUInt32Array(graphArgs.outputIndices);
740     EXPECT_EQ(OH_NN_INVALID_PARAMETER, OH_NNModel_AddOperation(model, graphArgs.operationType,
741                                                                &paramIndices, nullptr, &outputIndices));
742 
743     Free(model, nullptr, nullptr);
744 }
745 
746 /**
747  * @tc.number : SUB_AI_NNRt_Func_North_Greater_Model_AddOperation_06
748  * @tc.desc: 添加算子，inputindices中data为nullptr
749  * @tc.type: FUNC
750  */
HWTEST_F(GreaterTest, SUB_AI_NNRt_Func_North_Greater_Model_AddOperation_06, Function | MediumTest | Level2)751 HWTEST_F(GreaterTest, SUB_AI_NNRt_Func_North_Greater_Model_AddOperation_06, Function | MediumTest | Level2)
752 {
753     OH_NNModel *model = OH_NNModel_Construct();
754     EXPECT_NE(nullptr, model);
755 
756     GreaterModel1 greaterModel;
757     OHNNGraphArgs graphArgs = greaterModel.graphArgs;
758     graphArgs.addOperation = false;
759     graphArgs.specifyIO = false;
760     graphArgs.build = false;
761     EXPECT_EQ(OH_NN_SUCCESS, BuildSingleOpGraph(model, graphArgs));
762 
763     auto paramIndices = TransformUInt32Array(graphArgs.paramIndices);
764     auto inputIndices = TransformUInt32Array(graphArgs.inputIndices);
765     auto outputIndices = TransformUInt32Array(graphArgs.outputIndices);
766     inputIndices.data = nullptr;
767     EXPECT_EQ(OH_NN_INVALID_PARAMETER, OH_NNModel_AddOperation(model, graphArgs.operationType,
768                                                                &paramIndices, &inputIndices, &outputIndices));
769 
770     Free(model, nullptr, nullptr);
771 }
772 
773 /**
774  * @tc.number : SUB_AI_NNRt_Func_North_Greater_Model_AddOperation_07
775  * @tc.desc: 添加算子，inputindices中data对应序号不存在
776  * @tc.type: FUNC
777  */
HWTEST_F(GreaterTest, SUB_AI_NNRt_Func_North_Greater_Model_AddOperation_07, Function | MediumTest | Level2)778 HWTEST_F(GreaterTest, SUB_AI_NNRt_Func_North_Greater_Model_AddOperation_07, Function | MediumTest | Level2)
779 {
780     OH_NNModel *model = OH_NNModel_Construct();
781     EXPECT_NE(nullptr, model);
782 
783     GreaterModel1 greaterModel;
784     OHNNGraphArgs graphArgs = greaterModel.graphArgs;
785     graphArgs.addOperation = false;
786     graphArgs.specifyIO = false;
787     graphArgs.build = false;
788     EXPECT_EQ(OH_NN_SUCCESS, BuildSingleOpGraph(model, graphArgs));
789 
790     graphArgs.inputIndices = {100000};
791     auto paramIndices = TransformUInt32Array(graphArgs.paramIndices);
792     auto inputIndices = TransformUInt32Array(graphArgs.inputIndices);
793     auto outputIndices = TransformUInt32Array(graphArgs.outputIndices);
794     EXPECT_EQ(OH_NN_INVALID_PARAMETER, OH_NNModel_AddOperation(model, graphArgs.operationType,
795                                                                &paramIndices, &inputIndices, &outputIndices));
796 
797     Free(model, nullptr, nullptr);
798 }
799 
800 /**
801  * @tc.number : SUB_AI_NNRt_Func_North_Greater_Model_AddOperation_08
802  * @tc.desc: 添加算子，inputindices中size为0
803  * @tc.type: FUNC
804  */
HWTEST_F(GreaterTest, SUB_AI_NNRt_Func_North_Greater_Model_AddOperation_08, Function | MediumTest | Level2)805 HWTEST_F(GreaterTest, SUB_AI_NNRt_Func_North_Greater_Model_AddOperation_08, Function | MediumTest | Level2)
806 {
807     OH_NNModel *model = OH_NNModel_Construct();
808     EXPECT_NE(nullptr, model);
809 
810     GreaterModel1 greaterModel;
811     OHNNGraphArgs graphArgs = greaterModel.graphArgs;
812     graphArgs.addOperation = false;
813     graphArgs.specifyIO = false;
814     graphArgs.build = false;
815     EXPECT_EQ(OH_NN_SUCCESS, BuildSingleOpGraph(model, graphArgs));
816 
817     auto paramIndices = TransformUInt32Array(graphArgs.paramIndices);
818     auto inputIndices = TransformUInt32Array(graphArgs.inputIndices);
819     auto outputIndices = TransformUInt32Array(graphArgs.outputIndices);
820     inputIndices.size = 0;
821     EXPECT_EQ(OH_NN_INVALID_PARAMETER, OH_NNModel_AddOperation(model, graphArgs.operationType,
822                                                                &paramIndices, &inputIndices, &outputIndices));
823 
824     Free(model, nullptr, nullptr);
825 }
826 
827 /**
828  * @tc.number : SUB_AI_NNRt_Func_North_Greater_Model_AddOperation_09
829  * @tc.desc: 添加算子，outputindices为nullptr
830  * @tc.type: FUNC
831  */
HWTEST_F(GreaterTest, SUB_AI_NNRt_Func_North_Greater_Model_AddOperation_09, Function | MediumTest | Level2)832 HWTEST_F(GreaterTest, SUB_AI_NNRt_Func_North_Greater_Model_AddOperation_09, Function | MediumTest | Level2)
833 {
834     OH_NNModel *model = OH_NNModel_Construct();
835     EXPECT_NE(nullptr, model);
836 
837     GreaterModel1 greaterModel;
838     OHNNGraphArgs graphArgs = greaterModel.graphArgs;
839     graphArgs.addOperation = false;
840     graphArgs.specifyIO = false;
841     graphArgs.build = false;
842     EXPECT_EQ(OH_NN_SUCCESS, BuildSingleOpGraph(model, graphArgs));
843 
844     auto paramIndices = TransformUInt32Array(graphArgs.paramIndices);
845     auto inputIndices = TransformUInt32Array(graphArgs.inputIndices);
846     EXPECT_EQ(OH_NN_INVALID_PARAMETER, OH_NNModel_AddOperation(nullptr, graphArgs.operationType,
847                                                                &paramIndices, &inputIndices, nullptr));
848 
849     Free(model, nullptr, nullptr);
850 }