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authorNattapat Chaimanowong <nattapat.chaimanowong@arm.com>2019-03-28 09:56:53 +0000
committerNattapat Chaimanowong <nattapat.chaimanowong@arm.com>2019-03-28 11:18:00 +0000
commite4294fd7363fd2f5a7be25d1722f20ed935d3445 (patch)
treeb1ebf691cc66e447706081c956a50ce1b4c18e99 /src/armnnSerializer/test
parent61f54634701d070dbf48e082993fa58104d6f329 (diff)
downloadarmnn-e4294fd7363fd2f5a7be25d1722f20ed935d3445.tar.gz
IVGCVSW-2874 Add DequantizeLayer and no-op factory method
*Add Dequantize layer to the frontend *Add Serializer and Deserializer for Dequantize Change-Id: Ide2647b9e0348d599deb97e61ca4bf66e2f17fc0 Signed-off-by: Nattapat Chaimanowong <nattapat.chaimanowong@arm.com>
Diffstat (limited to 'src/armnnSerializer/test')
-rw-r--r--src/armnnSerializer/test/SerializerTests.cpp44
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