1 /*
2 * Copyright (c) 2023 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/unstack_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 UnstackBuilderTest : 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 UnstackBuilder m_builder;
38 std::vector<uint32_t> m_inputs {0};
39 std::vector<uint32_t> m_outputs {1};
40 std::vector<uint32_t> m_params {2};
41 std::vector<int32_t> m_dim {1, 2, 2, 1};
42 std::vector<int32_t> m_paramDim {};
43 };
44
SetUp()45 void UnstackBuilderTest::SetUp() {}
46
TearDown()47 void UnstackBuilderTest::TearDown() {}
48
SaveParamsTensor(OH_NN_DataType dataType,const std::vector<int32_t> & dim,const OH_NN_QuantParam * quantParam,OH_NN_TensorType type)49 void UnstackBuilderTest::SaveParamsTensor(OH_NN_DataType dataType,
50 const std::vector<int32_t> &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type)
51 {
52 std::shared_ptr<NNTensor> axisTensor = TransToNNTensor(dataType, dim, quantParam, type);
53 int64_t* axisValue = new (std::nothrow) int64_t[1]{0};
54 EXPECT_NE(nullptr, axisValue);
55 axisTensor->SetBuffer(axisValue, sizeof(int64_t));
56 m_allTensors.emplace_back(axisTensor);
57 }
58
59 /**
60 * @tc.name: unstack_build_001
61 * @tc.desc: Verify that the build function returns a successful message.
62 * @tc.type: FUNC
63 */
64 HWTEST_F(UnstackBuilderTest, unstack_build_001, TestSize.Level1)
65 {
66 SaveInputTensor(m_inputs, OH_NN_INT32, m_dim, nullptr);
67 SaveOutputTensor(m_outputs, OH_NN_INT32, m_dim, nullptr);
68 SaveParamsTensor(OH_NN_INT64, m_paramDim, nullptr, OH_NN_UNSTACK_AXIS);
69
70 OH_NN_ReturnCode ret = m_builder.Build(m_params, m_inputsIndex, m_outputsIndex, m_allTensors);
71 EXPECT_EQ(OH_NN_SUCCESS, ret);
72 }
73
74 /**
75 * @tc.name: unstack_build_001
76 * @tc.desc: Verify that the build function returns a failed message with true m_isBuild.
77 * @tc.type: FUNC
78 */
79 HWTEST_F(UnstackBuilderTest, unstack_build_002, TestSize.Level1)
80 {
81 SaveInputTensor(m_inputs, OH_NN_INT32, m_dim, nullptr);
82 SaveOutputTensor(m_outputs, OH_NN_INT32, m_dim, nullptr);
83 SaveParamsTensor(OH_NN_INT64, m_paramDim, nullptr, OH_NN_UNSTACK_AXIS);
84
85 EXPECT_EQ(OH_NN_SUCCESS, m_builder.Build(m_params, m_inputsIndex, m_outputsIndex, m_allTensors));
86 OH_NN_ReturnCode ret = m_builder.Build(m_params, m_inputsIndex, m_outputsIndex, m_allTensors);
87 EXPECT_EQ(OH_NN_OPERATION_FORBIDDEN, ret);
88 }
89
90 /**
91 * @tc.name: unstack_build_003
92 * @tc.desc: Verify that the build function returns a failed message with invalided input.
93 * @tc.type: FUNC
94 */
95 HWTEST_F(UnstackBuilderTest, unstack_build_003, TestSize.Level1)
96 {
97 m_inputs = {0, 1};
98 m_outputs = {2};
99 m_params = {3};
100
101 SaveInputTensor(m_inputs, OH_NN_INT32, m_dim, nullptr);
102 SaveOutputTensor(m_outputs, OH_NN_INT32, m_dim, nullptr);
103 SaveParamsTensor(OH_NN_INT64, m_paramDim, nullptr, OH_NN_UNSTACK_AXIS);
104
105 OH_NN_ReturnCode ret = m_builder.Build(m_params, m_inputsIndex, m_outputsIndex, m_allTensors);
106 EXPECT_EQ(OH_NN_INVALID_PARAMETER, ret);
107 }
108
109 /**
110 * @tc.name: unstack_build_004
111 * @tc.desc: Verify that the build function returns a failed message with empty allTensor.
112 * @tc.type: FUNC
113 */
114 HWTEST_F(UnstackBuilderTest, unstack_build_004, TestSize.Level1)
115 {
116 OH_NN_ReturnCode ret = m_builder.Build(m_params, m_inputs, m_outputs, m_allTensors);
117 EXPECT_EQ(OH_NN_INVALID_PARAMETER, ret);
118 }
119
120 /**
121 * @tc.name: unstack_build_005
122 * @tc.desc: Verify that the build function returns a failed message without output tensor.
123 * @tc.type: FUNC
124 */
125 HWTEST_F(UnstackBuilderTest, unstack_build_005, TestSize.Level1)
126 {
127 SaveInputTensor(m_inputs, OH_NN_INT32, m_dim, nullptr);
128
129 OH_NN_ReturnCode ret = m_builder.Build(m_params, m_inputsIndex, m_outputs, m_allTensors);
130 EXPECT_EQ(OH_NN_INVALID_PARAMETER, ret);
131 }
132
133 /**
134 * @tc.name: unstack_build_006
135 * @tc.desc: Verify that the build function returns a failed message with invalid axis's dataType.
136 * @tc.type: FUNC
137 */
138 HWTEST_F(UnstackBuilderTest, unstack_build_006, TestSize.Level1)
139 {
140 SaveInputTensor(m_inputs, OH_NN_INT32, m_dim, nullptr);
141 SaveOutputTensor(m_outputs, OH_NN_INT32, m_dim, nullptr);
142
143 std::shared_ptr<NNTensor> axisTensor = TransToNNTensor(OH_NN_FLOAT32, m_paramDim,
144 nullptr, OH_NN_UNSTACK_AXIS);
__anon96fb6a8a0102null145 float* axisValue = new (std::nothrow) float[1]{1.0f};
146 axisTensor->SetBuffer(axisValue, sizeof(axisValue));
147 m_allTensors.emplace_back(axisTensor);
148
149 OH_NN_ReturnCode ret = m_builder.Build(m_params, m_inputsIndex, m_outputsIndex, m_allTensors);
150 EXPECT_EQ(OH_NN_INVALID_PARAMETER, ret);
151 }
152
153 /**
154 * @tc.name: unstack_build_007
155 * @tc.desc: Verify that the build function returns a failed message with passing invalid axis param.
156 * @tc.type: FUNC
157 */
158 HWTEST_F(UnstackBuilderTest, unstack_build_007, TestSize.Level1)
159 {
160 SaveInputTensor(m_inputs, OH_NN_INT32, m_dim, nullptr);
161 SaveOutputTensor(m_outputs, OH_NN_INT32, m_dim, nullptr);
162 SaveParamsTensor(OH_NN_INT64, m_paramDim, nullptr, OH_NN_MUL_ACTIVATION_TYPE);
163
164 OH_NN_ReturnCode ret = m_builder.Build(m_params, m_inputsIndex, m_outputsIndex, m_allTensors);
165 EXPECT_EQ(OH_NN_INVALID_PARAMETER, ret);
166 }
167
168 /**
169 * @tc.name: unstack_build_008
170 * @tc.desc: Verify that the build function returns a failed message without set buffer for axis.
171 * @tc.type: FUNC
172 */
173 HWTEST_F(UnstackBuilderTest, unstack_build_008, TestSize.Level1)
174 {
175 SaveInputTensor(m_inputs, OH_NN_INT32, m_dim, nullptr);
176 SaveOutputTensor(m_outputs, OH_NN_INT32, m_dim, nullptr);
177
178 std::shared_ptr<NNTensor> axisTensor = TransToNNTensor(OH_NN_INT64, m_paramDim,
179 nullptr, OH_NN_UNSTACK_AXIS);
180 m_allTensors.emplace_back(axisTensor);
181
182 OH_NN_ReturnCode ret = m_builder.Build(m_params, m_inputsIndex, m_outputsIndex, m_allTensors);
183 EXPECT_EQ(OH_NN_INVALID_PARAMETER, ret);
184 }
185
186 /**
187 * @tc.name: unstack_getprimitive_001
188 * @tc.desc: Verify that the getPrimitive function returns a successful message
189 * @tc.type: FUNC
190 */
191 HWTEST_F(UnstackBuilderTest, unstack_getprimitive_001, TestSize.Level1)
192 {
193 SaveInputTensor(m_inputs, OH_NN_INT32, m_dim, nullptr);
194 SaveOutputTensor(m_outputs, OH_NN_INT32, m_dim, nullptr);
195 SaveParamsTensor(OH_NN_INT64, m_paramDim, nullptr, OH_NN_UNSTACK_AXIS);
196
197 int64_t axisValue = 0;
198 EXPECT_EQ(OH_NN_SUCCESS, m_builder.Build(m_params, m_inputsIndex, m_outputsIndex, m_allTensors));
199 LiteGraphPrimitvePtr primitive = m_builder.GetPrimitive();
200 LiteGraphPrimitvePtr expectPrimitive(nullptr, DestroyLiteGraphPrimitive);
201 EXPECT_NE(expectPrimitive, primitive);
202
203 auto returnValue = mindspore::lite::MindIR_Unstack_GetAxis(primitive.get());
204 EXPECT_EQ(returnValue, axisValue);
205 }
206
207 /**
208 * @tc.name: unstack_getprimitive_002
209 * @tc.desc: Verify that the getPrimitive function returns a failed message without build.
210 * @tc.type: FUNC
211 */
212 HWTEST_F(UnstackBuilderTest, unstack_getprimitive_002, TestSize.Level1)
213 {
214 LiteGraphPrimitvePtr primitive = m_builder.GetPrimitive();
215 LiteGraphPrimitvePtr expectPrimitive(nullptr, DestroyLiteGraphPrimitive);
216 EXPECT_EQ(expectPrimitive, primitive);
217 }
218 }
219 }
220 }