/* * Copyright (c) 2024 Huawei Device Co., Ltd. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. */ #include "ops/assert_builder.h" #include "ops_test.h" using namespace testing; using namespace testing::ext; using namespace OHOS::NeuralNetworkRuntime::Ops; namespace OHOS { namespace NeuralNetworkRuntime { namespace UnitTest { class AssertBuilderTest : public OpsTest { public: void SetUp() override; void TearDown() override; protected: void SaveParamsTensor(OH_NN_DataType dataType, const std::vector &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type); void SetInputTensor(); protected: AssertBuilder m_builder; std::vector m_inputs {0, 1}; std::vector m_outputs {2}; std::vector m_params {3}; std::vector m_dim {2, 2}; std::vector m_paramDim {}; }; void AssertBuilderTest::SetUp() {} void AssertBuilderTest::TearDown() {} void AssertBuilderTest::SaveParamsTensor(OH_NN_DataType dataType, const std::vector &dim, const OH_NN_QuantParam* quantParam, OH_NN_TensorType type) { std::shared_ptr summarizeTensor = TransToNNTensor(dataType, dim, quantParam, type); int64_t* summarizeValue = new (std::nothrow) int64_t[1] {0}; EXPECT_NE(nullptr, summarizeValue); summarizeTensor->SetBuffer(summarizeValue, sizeof(int64_t)); m_allTensors.emplace_back(summarizeTensor); } void AssertBuilderTest::SetInputTensor() { m_inputsIndex = m_inputs; std::shared_ptr inputTensor; inputTensor = TransToNNTensor(OH_NN_INT32, m_dim, nullptr, OH_NN_TENSOR); m_allTensors.emplace_back(inputTensor); std::shared_ptr conditionTensor; conditionTensor = TransToNNTensor(OH_NN_INT32, m_dim, nullptr, OH_NN_TENSOR); m_allTensors.emplace_back(conditionTensor); } /** * @tc.name: assert_build_001 * @tc.desc: Verify that the build function returns a successful message. * @tc.type: FUNC */ HWTEST_F(AssertBuilderTest, assert_build_001, TestSize.Level1) { SetInputTensor(); SaveOutputTensor(m_outputs, OH_NN_INT32, m_dim, nullptr); SaveParamsTensor(OH_NN_INT64, m_paramDim, nullptr, OH_NN_ASSERT_SUMMARIZE); OH_NN_ReturnCode ret = m_builder.Build(m_params, m_inputsIndex, m_outputsIndex, m_allTensors); EXPECT_EQ(OH_NN_SUCCESS, ret); } /** * @tc.name: assert_build_002 * @tc.desc: Verify that the build function returns a failed message with true m_isBuild. * @tc.type: FUNC */ HWTEST_F(AssertBuilderTest, assert_build_002, TestSize.Level1) { SetInputTensor(); SaveOutputTensor(m_outputs, OH_NN_INT32, m_dim, nullptr); SaveParamsTensor(OH_NN_INT64, m_paramDim, nullptr, OH_NN_ASSERT_SUMMARIZE); EXPECT_EQ(OH_NN_SUCCESS, m_builder.Build(m_params, m_inputsIndex, m_outputsIndex, m_allTensors)); OH_NN_ReturnCode ret = m_builder.Build(m_params, m_inputsIndex, m_outputsIndex, m_allTensors); EXPECT_EQ(OH_NN_OPERATION_FORBIDDEN, ret); } /** * @tc.name: assert_build_003 * @tc.desc: Verify that the build function returns a failed message with invalided input. * @tc.type: FUNC */ HWTEST_F(AssertBuilderTest, assert_build_003, TestSize.Level1) { m_inputs = {0, 1, 2}; m_outputs = {3}; m_params = {4}; SetInputTensor(); SaveOutputTensor(m_outputs, OH_NN_INT32, m_dim, nullptr); SaveParamsTensor(OH_NN_INT64, m_paramDim, nullptr, OH_NN_ASSERT_SUMMARIZE); OH_NN_ReturnCode ret = m_builder.Build(m_params, m_inputsIndex, m_outputsIndex, m_allTensors); EXPECT_EQ(OH_NN_INVALID_PARAMETER, ret); } /** * @tc.name: assert_build_004 * @tc.desc: Verify that the build function returns a failed message with invalided output. * @tc.type: FUNC */ HWTEST_F(AssertBuilderTest, assert_build_004, TestSize.Level1) { m_outputs = {2, 3}; m_params = {4}; SetInputTensor(); SaveOutputTensor(m_outputs, OH_NN_INT32, m_dim, nullptr); SaveParamsTensor(OH_NN_INT64, m_paramDim, nullptr, OH_NN_ASSERT_SUMMARIZE); OH_NN_ReturnCode ret = m_builder.Build(m_params, m_inputsIndex, m_outputsIndex, m_allTensors); EXPECT_EQ(OH_NN_INVALID_PARAMETER, ret); } /** * @tc.name: assert_build_005 * @tc.desc: Verify that the build function returns a failed message with empty allTensor. * @tc.type: FUNC */ HWTEST_F(AssertBuilderTest, assert_build_005, TestSize.Level1) { OH_NN_ReturnCode ret = m_builder.Build(m_params, m_inputs, m_outputs, m_allTensors); EXPECT_EQ(OH_NN_INVALID_PARAMETER, ret); } /** * @tc.name: assert_build_006 * @tc.desc: Verify that the build function returns a failed message without output tensor. * @tc.type: FUNC */ HWTEST_F(AssertBuilderTest, assert_build_006, TestSize.Level1) { SetInputTensor(); OH_NN_ReturnCode ret = m_builder.Build(m_params, m_inputsIndex, m_outputs, m_allTensors); EXPECT_EQ(OH_NN_INVALID_PARAMETER, ret); } /** * @tc.name: assert_build_007 * @tc.desc: Verify that the build function returns a failed message with invalid summarize's dataType. * @tc.type: FUNC */ HWTEST_F(AssertBuilderTest, assert_build_007, TestSize.Level1) { SetInputTensor(); SaveOutputTensor(m_outputs, OH_NN_INT32, m_dim, nullptr); std::shared_ptr summarizeTensor = TransToNNTensor(OH_NN_FLOAT32, m_paramDim, nullptr, OH_NN_ASSERT_SUMMARIZE); float* summarizeValue = new (std::nothrow) float[1] {0.0f}; summarizeTensor->SetBuffer(summarizeValue, sizeof(float)); m_allTensors.emplace_back(summarizeTensor); OH_NN_ReturnCode ret = m_builder.Build(m_params, m_inputsIndex, m_outputsIndex, m_allTensors); EXPECT_EQ(OH_NN_INVALID_PARAMETER, ret); } /** * @tc.name: assert_build_008 * @tc.desc: Verify that the build function returns a failed message with passing invalid summarize param. * @tc.type: FUNC */ HWTEST_F(AssertBuilderTest, assert_build_008, TestSize.Level1) { SetInputTensor(); SaveOutputTensor(m_outputs, OH_NN_INT32, m_dim, nullptr); SaveParamsTensor(OH_NN_INT64, m_paramDim, nullptr, OH_NN_MUL_ACTIVATION_TYPE); OH_NN_ReturnCode ret = m_builder.Build(m_params, m_inputsIndex, m_outputsIndex, m_allTensors); EXPECT_EQ(OH_NN_INVALID_PARAMETER, ret); } /** * @tc.name: assert_build_009 * @tc.desc: Verify that the build function returns a failed message without set buffer for summarize. * @tc.type: FUNC */ HWTEST_F(AssertBuilderTest, assert_build_009, TestSize.Level1) { SetInputTensor(); SaveOutputTensor(m_outputs, OH_NN_INT32, m_dim, nullptr); std::shared_ptr summarizeTensor = TransToNNTensor(OH_NN_INT64, m_paramDim, nullptr, OH_NN_ASSERT_SUMMARIZE); m_allTensors.emplace_back(summarizeTensor); OH_NN_ReturnCode ret = m_builder.Build(m_params, m_inputsIndex, m_outputsIndex, m_allTensors); EXPECT_EQ(OH_NN_INVALID_PARAMETER, ret); } /** * @tc.name: assert_getprimitive_001 * @tc.desc: Verify that the getPrimitive function returns a successful message * @tc.type: FUNC */ HWTEST_F(AssertBuilderTest, assert_getprimitive_001, TestSize.Level1) { SetInputTensor(); SaveOutputTensor(m_outputs, OH_NN_INT32, m_dim, nullptr); SaveParamsTensor(OH_NN_INT64, m_paramDim, nullptr, OH_NN_ASSERT_SUMMARIZE); int64_t summarizeValue = 0; EXPECT_EQ(OH_NN_SUCCESS, m_builder.Build(m_params, m_inputsIndex, m_outputsIndex, m_allTensors)); LiteGraphPrimitvePtr primitive = m_builder.GetPrimitive(); LiteGraphPrimitvePtr expectPrimitive(nullptr, DestroyLiteGraphPrimitive); EXPECT_NE(expectPrimitive, primitive); auto returnValue = mindspore::lite::MindIR_Assert_GetSummarize(primitive.get()); EXPECT_EQ(returnValue, summarizeValue); } /** * @tc.name: assert_getprimitive_002 * @tc.desc: Verify that the getPrimitive function returns a failed message without build. * @tc.type: FUNC */ HWTEST_F(AssertBuilderTest, assert_getprimitive_002, TestSize.Level1) { LiteGraphPrimitvePtr primitive = m_builder.GetPrimitive(); LiteGraphPrimitvePtr expectPrimitive(nullptr, DestroyLiteGraphPrimitive); EXPECT_EQ(expectPrimitive, primitive); } } } }