1 /*
2 * Copyright (c) 2022 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 "ops/batchnorm_builder.h"
17
18 #include "ops_test.h"
19
20 using namespace testing;
21 using namespace testing::ext;
22 using namespace OHOS::NeuralNetworkRuntime::Ops;
23
24 namespace OHOS {
25 namespace NeuralNetworkRuntime {
26 namespace UnitTest {
27 class BatchNormBuilderTest : public OpsTest {
28 public:
29 void SetUp() override;
30 void TearDown() override;
31
32 protected:
33 void SaveParamsTensor(OH_NN_DataType dataType,
34 const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type);
35
36 protected:
37 BatchNormBuilder m_batchNorm;
38 std::vector<uint32_t> m_inputs {0, 1, 2, 3, 4};
39 std::vector<uint32_t> m_outputs {5};
40 std::vector<uint32_t> m_params {6};
41 std::vector<int32_t> m_inputDim {2, 2};
42 std::vector<int32_t> m_outputDim {2, 2};
43 std::vector<int32_t> m_paramDim {};
44 };
45
SetUp()46 void BatchNormBuilderTest::SetUp() {}
47
TearDown()48 void BatchNormBuilderTest::TearDown() {}
49
SaveParamsTensor(OH_NN_DataType dataType,const std::vector<int32_t> & dim,const OH_NN_QuantParam * quantParam,OH_NN_TensorType type)50 void BatchNormBuilderTest::SaveParamsTensor(OH_NN_DataType dataType,
51 const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type)
52 {
53 std::shared_ptr<NNTensor> epsilonTensor = TransToNNTensor(dataType, dim, quantParam, type);
54 float *epsilonValue = new (std::nothrow) float(0.0f);
55 EXPECT_NE(nullptr, epsilonValue);
56 epsilonTensor->SetBuffer(epsilonValue, sizeof(float));
57 m_allTensors.emplace_back(epsilonTensor);
58 }
59
60 /**
61 * @tc.name: batchnorm_build_001
62 * @tc.desc: Verify that the build function returns a successful message.
63 * @tc.type: FUNC
64 */
65 HWTEST_F(BatchNormBuilderTest, batchnorm_build_001, TestSize.Level0)
66 {
67 SaveInputTensor(m_inputs, OH_NN_FLOAT32, m_inputDim, nullptr);
68 SaveOutputTensor(m_outputs, OH_NN_FLOAT32, m_outputDim, nullptr);
69 SaveParamsTensor(OH_NN_FLOAT32, m_paramDim, nullptr, OH_NN_BATCH_NORM_EPSILON);
70
71 OH_NN_ReturnCode ret = m_batchNorm.Build(m_params, m_inputsIndex, m_outputsIndex, m_allTensors);
72 EXPECT_EQ(OH_NN_SUCCESS, ret);
73 }
74
75 /**
76 * @tc.name: batchnorm_build_002
77 * @tc.desc: Verify that the build function returns a failed message with true m_isBuild.
78 * @tc.type: FUNC
79 */
80 HWTEST_F(BatchNormBuilderTest, batchnorm_build_002, TestSize.Level0)
81 {
82 SaveInputTensor(m_inputs, OH_NN_FLOAT32, m_inputDim, nullptr);
83 SaveOutputTensor(m_outputs, OH_NN_FLOAT32, m_outputDim, nullptr);
84 SaveParamsTensor(OH_NN_FLOAT32, m_paramDim, nullptr, OH_NN_BATCH_NORM_EPSILON);
85
86 EXPECT_EQ(OH_NN_SUCCESS, m_batchNorm.Build(m_params, m_inputsIndex, m_outputsIndex, m_allTensors));
87 OH_NN_ReturnCode ret = m_batchNorm.Build(m_params, m_inputsIndex, m_outputsIndex, m_allTensors);
88 EXPECT_EQ(OH_NN_OPERATION_FORBIDDEN, ret);
89 }
90
91 /**
92 * @tc.name: batchnorm_build_003
93 * @tc.desc: Verify that the build function returns a failed message with invalided input.
94 * @tc.type: FUNC
95 */
96 HWTEST_F(BatchNormBuilderTest, batchnorm_build_003, TestSize.Level0)
97 {
98 m_inputs = {0, 1, 2, 3, 4, 5};
99 m_outputs = {6};
100 m_params = {7};
101
102 SaveInputTensor(m_inputs, OH_NN_FLOAT32, m_inputDim, nullptr);
103 SaveOutputTensor(m_outputs, OH_NN_FLOAT32, m_outputDim, nullptr);
104 SaveParamsTensor(OH_NN_FLOAT32, m_paramDim, nullptr, OH_NN_BATCH_NORM_EPSILON);
105
106 OH_NN_ReturnCode ret = m_batchNorm.Build(m_params, m_inputsIndex, m_outputsIndex, m_allTensors);
107 EXPECT_EQ(OH_NN_INVALID_PARAMETER, ret);
108 }
109
110 /**
111 * @tc.name: batchnorm_build_004
112 * @tc.desc: Verify that the build function returns a failed message with invalided output.
113 * @tc.type: FUNC
114 */
115 HWTEST_F(BatchNormBuilderTest, batchnorm_build_004, TestSize.Level0)
116 {
117 m_outputs = {5, 6};
118 m_params = {7};
119
120 SaveInputTensor(m_inputs, OH_NN_FLOAT32, m_inputDim, nullptr);
121 SaveOutputTensor(m_outputs, OH_NN_FLOAT32, m_outputDim, nullptr);
122 SaveParamsTensor(OH_NN_FLOAT32, m_paramDim, nullptr, OH_NN_BATCH_NORM_EPSILON);
123
124 OH_NN_ReturnCode ret = m_batchNorm.Build(m_params, m_inputsIndex, m_outputsIndex, m_allTensors);
125 EXPECT_EQ(OH_NN_INVALID_PARAMETER, ret);
126 }
127
128 /**
129 * @tc.name: batchnorm_build_005
130 * @tc.desc: Verify that the build function returns a failed message with null allTensor.
131 * @tc.type: FUNC
132 */
133 HWTEST_F(BatchNormBuilderTest, batchnorm_build_005, TestSize.Level0)
134 {
135 OH_NN_ReturnCode ret = m_batchNorm.Build(m_params, m_inputs, m_outputs, m_allTensors);
136 EXPECT_EQ(OH_NN_INVALID_PARAMETER, ret);
137 }
138
139 /**
140 * @tc.name: batchnorm_build_006
141 * @tc.desc: Verify that the build function returns a failed message without output tensor.
142 * @tc.type: FUNC
143 */
144 HWTEST_F(BatchNormBuilderTest, batchnorm_build_006, TestSize.Level0)
145 {
146 SaveInputTensor(m_inputs, OH_NN_FLOAT32, m_inputDim, nullptr);
147
148 OH_NN_ReturnCode ret = m_batchNorm.Build(m_params, m_inputsIndex, m_outputs, m_allTensors);
149 EXPECT_EQ(OH_NN_INVALID_PARAMETER, ret);
150 }
151
152 /**
153 * @tc.name: batchnorm_build_007
154 * @tc.desc: Verify that the build function returns a failed message with invalid epsilon's dataType.
155 * @tc.type: FUNC
156 */
157 HWTEST_F(BatchNormBuilderTest, batchnorm_build_007, TestSize.Level0)
158 {
159 SaveInputTensor(m_inputs, OH_NN_FLOAT32, m_inputDim, nullptr);
160 SaveOutputTensor(m_outputs, OH_NN_FLOAT32, m_outputDim, nullptr);
161 std::shared_ptr<NNTensor> epsilonTensor = TransToNNTensor(OH_NN_INT32, m_paramDim,
162 nullptr, OH_NN_BATCH_NORM_EPSILON);
163 float epsilonValue = 0.0f;
164 epsilonTensor->SetBuffer(&epsilonValue, sizeof(epsilonValue));
165 m_allTensors.emplace_back(epsilonTensor);
166
167 OH_NN_ReturnCode ret = m_batchNorm.Build(m_params, m_inputsIndex, m_outputsIndex, m_allTensors);
168 EXPECT_EQ(OH_NN_INVALID_PARAMETER, ret);
169 epsilonTensor->SetBuffer(nullptr, 0);
170 }
171
172 /**
173 * @tc.name: batchnorm_build_008
174 * @tc.desc: Verify that the build function returns a failed message with invalid epsilon's dimension.
175 * @tc.type: FUNC
176 */
177 HWTEST_F(BatchNormBuilderTest, batchnorm_build_008, TestSize.Level0)
178 {
179 std::vector<int32_t> m_paramDim = { 2 };
180
181 SaveInputTensor(m_inputs, OH_NN_FLOAT32, m_inputDim, nullptr);
182 SaveOutputTensor(m_outputs, OH_NN_FLOAT32, m_outputDim, nullptr);
183 std::shared_ptr<NNTensor> epsilonTensor = TransToNNTensor(OH_NN_FLOAT32, m_paramDim,
184 nullptr, OH_NN_BATCH_NORM_EPSILON);
185 float epsilonValue[2] = {0.0f, 0.0f};
186 epsilonTensor->SetBuffer(epsilonValue, 2 * sizeof(float));
187 m_allTensors.emplace_back(epsilonTensor);
188
189 OH_NN_ReturnCode ret = m_batchNorm.Build(m_params, m_inputsIndex, m_outputsIndex, m_allTensors);
190 EXPECT_EQ(OH_NN_INVALID_PARAMETER, ret);
191 epsilonTensor->SetBuffer(nullptr, 0);
192 }
193
194 /**
195 * @tc.name: batchnorm_build_009
196 * @tc.desc: Verify that the build function returns a failed message with invalid param.
197 * @tc.type: FUNC
198 */
199 HWTEST_F(BatchNormBuilderTest, batchnorm_build_009, TestSize.Level0)
200 {
201 SaveInputTensor(m_inputs, OH_NN_FLOAT32, m_inputDim, nullptr);
202 SaveOutputTensor(m_outputs, OH_NN_FLOAT32, m_outputDim, nullptr);
203 SaveParamsTensor(OH_NN_FLOAT32, m_paramDim, nullptr, OH_NN_MATMUL_TRANSPOSE_A);
204
205 OH_NN_ReturnCode ret = m_batchNorm.Build(m_params, m_inputsIndex, m_outputsIndex, m_allTensors);
206 EXPECT_EQ(OH_NN_INVALID_PARAMETER, ret);
207 }
208
209 /**
210 * @tc.name: batchnorm_build_010
211 * @tc.desc: Verify that the build function returns a failed message without set buffer successfully.
212 * @tc.type: FUNC
213 */
214 HWTEST_F(BatchNormBuilderTest, batchnorm_build_010, TestSize.Level0)
215 {
216 SaveInputTensor(m_inputs, OH_NN_FLOAT32, m_inputDim, nullptr);
217 SaveOutputTensor(m_outputs, OH_NN_FLOAT32, m_outputDim, nullptr);
218 std::shared_ptr<NNTensor> epsilonTensor = TransToNNTensor(OH_NN_FLOAT32, m_paramDim, nullptr,
219 OH_NN_BATCH_NORM_EPSILON);
220 m_allTensors.emplace_back(epsilonTensor);
221
222 OH_NN_ReturnCode ret = m_batchNorm.Build(m_params, m_inputsIndex, m_outputsIndex, m_allTensors);
223 EXPECT_EQ(OH_NN_INVALID_PARAMETER, ret);
224 }
225
226 /**
227 * @tc.name: batchnorm_getprimitive_001
228 * @tc.desc: Verify that the getPrimitive function returns a successful message
229 * @tc.type: FUNC
230 */
231 HWTEST_F(BatchNormBuilderTest, batchnorm_getprimitive_001, TestSize.Level0)
232 {
233 SaveInputTensor(m_inputs, OH_NN_FLOAT32, m_inputDim, nullptr);
234 SaveOutputTensor(m_outputs, OH_NN_FLOAT32, m_outputDim, nullptr);
235 SaveParamsTensor(OH_NN_FLOAT32, m_paramDim, nullptr, OH_NN_BATCH_NORM_EPSILON);
236
237 float epsilonValue = 0.9;
238 EXPECT_EQ(OH_NN_SUCCESS, m_batchNorm.Build(m_params, m_inputsIndex, m_outputsIndex, m_allTensors));
239 LiteGraphPrimitvePtr primitive = m_batchNorm.GetPrimitive();
240 LiteGraphPrimitvePtr expectPrimitive(nullptr, DestroyLiteGraphPrimitive);
241 EXPECT_NE(expectPrimitive, primitive);
242
243 auto returnValue = mindspore::lite::MindIR_FusedBatchNorm_GetEpsilon(primitive.get());
244 EXPECT_EQ(returnValue, epsilonValue);
245 }
246
247 /**
248 * @tc.name: batchnorm_getprimitive_002
249 * @tc.desc: Verify that the getPrimitive function returns a failed message without build.
250 * @tc.type: FUNC
251 */
252 HWTEST_F(BatchNormBuilderTest, batchnorm_getprimitive_002, TestSize.Level0)
253 {
254 BatchNormBuilder batchNorm;
255 LiteGraphPrimitvePtr primitive = m_batchNorm.GetPrimitive();
256 LiteGraphPrimitvePtr expectPrimitive(nullptr, DestroyLiteGraphPrimitive);
257 EXPECT_EQ(expectPrimitive, primitive);
258 }
259 }
260 }
261 }