diff options
Diffstat (limited to 'src/armnnSerializer/test/SerializerTests.cpp')
| -rw-r--r-- | src/armnnSerializer/test/SerializerTests.cpp | 44 |
1 files changed, 44 insertions, 0 deletions
diff --git a/src/armnnSerializer/test/SerializerTests.cpp b/src/armnnSerializer/test/SerializerTests.cpp index 0345e53bcb..0979076476 100644 --- a/src/armnnSerializer/test/SerializerTests.cpp +++ b/src/armnnSerializer/test/SerializerTests.cpp @@ -59,6 +59,9 @@ protected: 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++) @@ -67,6 +70,9 @@ protected: 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()); } } @@ -590,6 +596,44 @@ BOOST_AUTO_TEST_CASE(SerializeDepthwiseConvolution2d) deserializedNetwork->Accept(verifier); } +BOOST_AUTO_TEST_CASE(SerializeDequantize) +{ + class DequantizeLayerVerifier : public LayerVerifierBase + { + public: + DequantizeLayerVerifier(const std::string& layerName, + const std::vector<armnn::TensorInfo>& inputInfos, + const std::vector<armnn::TensorInfo>& outputInfos) + : LayerVerifierBase(layerName, inputInfos, outputInfos) {} + + void VisitDequantizeLayer(const armnn::IConnectableLayer* layer, const char* name) override + { + VerifyNameAndConnections(layer, name); + } + }; + + const std::string layerName("dequantize"); + const armnn::TensorInfo inputInfo({ 1, 5, 2, 3 }, armnn::DataType::QuantisedAsymm8, 0.5f, 1); + const armnn::TensorInfo outputInfo({ 1, 5, 2, 3 }, armnn::DataType::Float32); + + armnn::INetworkPtr network = armnn::INetwork::Create(); + armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); + armnn::IConnectableLayer* const dequantizeLayer = network->AddDequantizeLayer(layerName.c_str()); + armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); + + inputLayer->GetOutputSlot(0).Connect(dequantizeLayer->GetInputSlot(0)); + dequantizeLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); + + inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); + dequantizeLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); + + armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); + BOOST_CHECK(deserializedNetwork); + + DequantizeLayerVerifier verifier(layerName, {inputInfo}, {outputInfo}); + deserializedNetwork->Accept(verifier); +} + BOOST_AUTO_TEST_CASE(SerializeDeserializeDetectionPostProcess) { class DetectionPostProcessLayerVerifier : public LayerVerifierBase |