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Diffstat (limited to 'src/armnnSerializer/test/SerializerTestUtils.cpp')
| -rw-r--r-- | src/armnnSerializer/test/SerializerTestUtils.cpp | 163 |
1 files changed, 163 insertions, 0 deletions
diff --git a/src/armnnSerializer/test/SerializerTestUtils.cpp b/src/armnnSerializer/test/SerializerTestUtils.cpp new file mode 100644 index 0000000000..586d2a05a5 --- /dev/null +++ b/src/armnnSerializer/test/SerializerTestUtils.cpp @@ -0,0 +1,163 @@ +// +// Copyright © 2021 Arm Ltd and Contributors. All rights reserved. +// SPDX-License-Identifier: MIT +// + +#include "SerializerTestUtils.hpp" +#include "../Serializer.hpp" + +using armnnDeserializer::IDeserializer; + +LayerVerifierBase::LayerVerifierBase(const std::string& layerName, + const std::vector<armnn::TensorInfo>& inputInfos, + const std::vector<armnn::TensorInfo>& outputInfos) + : m_LayerName(layerName) + , m_InputTensorInfos(inputInfos) + , m_OutputTensorInfos(outputInfos) +{} + +void LayerVerifierBase::ExecuteStrategy(const armnn::IConnectableLayer* layer, + const armnn::BaseDescriptor& descriptor, + const std::vector<armnn::ConstTensor>& constants, + const char* name, + const armnn::LayerBindingId id) +{ + armnn::IgnoreUnused(descriptor, constants, id); + switch (layer->GetType()) + { + case armnn::LayerType::Input: break; + case armnn::LayerType::Output: break; + default: + { + VerifyNameAndConnections(layer, name); + } + } +} + + +void LayerVerifierBase::VerifyNameAndConnections(const armnn::IConnectableLayer* layer, const char* name) +{ + BOOST_TEST(name == m_LayerName.c_str()); + + BOOST_TEST(layer->GetNumInputSlots() == m_InputTensorInfos.size()); + BOOST_TEST(layer->GetNumOutputSlots() == m_OutputTensorInfos.size()); + + for (unsigned int i = 0; i < m_InputTensorInfos.size(); i++) + { + const armnn::IOutputSlot* connectedOutput = layer->GetInputSlot(i).GetConnection(); + BOOST_CHECK(connectedOutput); + + const armnn::TensorInfo& connectedInfo = connectedOutput->GetTensorInfo(); + BOOST_TEST(connectedInfo.GetShape() == m_InputTensorInfos[i].GetShape()); + BOOST_TEST( + GetDataTypeName(connectedInfo.GetDataType()) == GetDataTypeName(m_InputTensorInfos[i].GetDataType())); + + BOOST_TEST(connectedInfo.GetQuantizationScale() == m_InputTensorInfos[i].GetQuantizationScale()); + BOOST_TEST(connectedInfo.GetQuantizationOffset() == m_InputTensorInfos[i].GetQuantizationOffset()); + } + + for (unsigned int i = 0; i < m_OutputTensorInfos.size(); i++) + { + const armnn::TensorInfo& outputInfo = layer->GetOutputSlot(i).GetTensorInfo(); + BOOST_TEST(outputInfo.GetShape() == m_OutputTensorInfos[i].GetShape()); + BOOST_TEST( + GetDataTypeName(outputInfo.GetDataType()) == GetDataTypeName(m_OutputTensorInfos[i].GetDataType())); + + BOOST_TEST(outputInfo.GetQuantizationScale() == m_OutputTensorInfos[i].GetQuantizationScale()); + BOOST_TEST(outputInfo.GetQuantizationOffset() == m_OutputTensorInfos[i].GetQuantizationOffset()); + } +} + +void LayerVerifierBase::VerifyConstTensors(const std::string& tensorName, + const armnn::ConstTensor* expectedPtr, + const armnn::ConstTensor* actualPtr) +{ + if (expectedPtr == nullptr) + { + BOOST_CHECK_MESSAGE(actualPtr == nullptr, tensorName + " should not exist"); + } + else + { + BOOST_CHECK_MESSAGE(actualPtr != nullptr, tensorName + " should have been set"); + if (actualPtr != nullptr) + { + const armnn::TensorInfo& expectedInfo = expectedPtr->GetInfo(); + const armnn::TensorInfo& actualInfo = actualPtr->GetInfo(); + + BOOST_CHECK_MESSAGE(expectedInfo.GetShape() == actualInfo.GetShape(), + tensorName + " shapes don't match"); + BOOST_CHECK_MESSAGE( + GetDataTypeName(expectedInfo.GetDataType()) == GetDataTypeName(actualInfo.GetDataType()), + tensorName + " data types don't match"); + + BOOST_CHECK_MESSAGE(expectedPtr->GetNumBytes() == actualPtr->GetNumBytes(), + tensorName + " (GetNumBytes) data sizes do not match"); + if (expectedPtr->GetNumBytes() == actualPtr->GetNumBytes()) + { + //check the data is identical + const char* expectedData = static_cast<const char*>(expectedPtr->GetMemoryArea()); + const char* actualData = static_cast<const char*>(actualPtr->GetMemoryArea()); + bool same = true; + for (unsigned int i = 0; i < expectedPtr->GetNumBytes(); ++i) + { + same = expectedData[i] == actualData[i]; + if (!same) + { + break; + } + } + BOOST_CHECK_MESSAGE(same, tensorName + " data does not match"); + } + } + } +} + +void CompareConstTensor(const armnn::ConstTensor& tensor1, const armnn::ConstTensor& tensor2) +{ + BOOST_TEST(tensor1.GetShape() == tensor2.GetShape()); + BOOST_TEST(GetDataTypeName(tensor1.GetDataType()) == GetDataTypeName(tensor2.GetDataType())); + + switch (tensor1.GetDataType()) + { + case armnn::DataType::Float32: + CompareConstTensorData<const float*>( + tensor1.GetMemoryArea(), tensor2.GetMemoryArea(), tensor1.GetNumElements()); + break; + case armnn::DataType::QAsymmU8: + case armnn::DataType::Boolean: + CompareConstTensorData<const uint8_t*>( + tensor1.GetMemoryArea(), tensor2.GetMemoryArea(), tensor1.GetNumElements()); + break; + case armnn::DataType::QSymmS8: + CompareConstTensorData<const int8_t*>( + tensor1.GetMemoryArea(), tensor2.GetMemoryArea(), tensor1.GetNumElements()); + break; + case armnn::DataType::Signed32: + CompareConstTensorData<const int32_t*>( + tensor1.GetMemoryArea(), tensor2.GetMemoryArea(), tensor1.GetNumElements()); + break; + default: + // Note that Float16 is not yet implemented + BOOST_TEST_MESSAGE("Unexpected datatype"); + BOOST_TEST(false); + } +} + +armnn::INetworkPtr DeserializeNetwork(const std::string& serializerString) +{ + std::vector<std::uint8_t> const serializerVector{serializerString.begin(), serializerString.end()}; + return IDeserializer::Create()->CreateNetworkFromBinary(serializerVector); +} + +std::string SerializeNetwork(const armnn::INetwork& network) +{ + armnnSerializer::ISerializerPtr serializer = armnnSerializer::ISerializer::Create(); + + serializer->Serialize(network); + + std::stringstream stream; + serializer->SaveSerializedToStream(stream); + + std::string serializerString{stream.str()}; + return serializerString; +} |