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-rw-r--r--src/armnnSerializer/ArmnnSchema.fbs10
-rw-r--r--src/armnnSerializer/Serializer.cpp8
-rw-r--r--src/armnnSerializer/Serializer.hpp3
-rw-r--r--src/armnnSerializer/SerializerSupport.md1
-rw-r--r--src/armnnSerializer/test/SerializerTests.cpp40
5 files changed, 60 insertions, 2 deletions
diff --git a/src/armnnSerializer/ArmnnSchema.fbs b/src/armnnSerializer/ArmnnSchema.fbs
index dea5889186..9f1d8ecc9f 100644
--- a/src/armnnSerializer/ArmnnSchema.fbs
+++ b/src/armnnSerializer/ArmnnSchema.fbs
@@ -106,7 +106,8 @@ enum LayerType : uint {
Floor = 22,
BatchNormalization = 23,
Greater = 24,
- ResizeBilinear = 25
+ ResizeBilinear = 25,
+ Subtraction = 26
}
// Base layer table to be used as part of other layers
@@ -302,6 +303,10 @@ table SpaceToBatchNdDescriptor {
dataLayout:DataLayout;
}
+table SubtractionLayer {
+ base:LayerBase;
+}
+
table BatchToSpaceNdLayer {
base:LayerBase;
descriptor:BatchToSpaceNdDescriptor;
@@ -402,7 +407,8 @@ union Layer {
RsqrtLayer,
FloorLayer,
GreaterLayer,
- ResizeBilinearLayer
+ ResizeBilinearLayer,
+ SubtractionLayer
}
table AnyLayer {
diff --git a/src/armnnSerializer/Serializer.cpp b/src/armnnSerializer/Serializer.cpp
index d6df61cbcf..93231d0366 100644
--- a/src/armnnSerializer/Serializer.cpp
+++ b/src/armnnSerializer/Serializer.cpp
@@ -588,6 +588,14 @@ void SerializerVisitor::VisitNormalizationLayer(const armnn::IConnectableLayer*
CreateAnyLayer(flatBufferLayer.o, serializer::Layer::Layer_NormalizationLayer);
}
+void SerializerVisitor::VisitSubtractionLayer(const armnn::IConnectableLayer* layer, const char* name)
+{
+ auto fbSubtractionBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Subtraction);
+ auto fbSubtractionLayer = serializer::CreateSubtractionLayer(m_flatBufferBuilder, fbSubtractionBaseLayer);
+
+ CreateAnyLayer(fbSubtractionLayer.o, serializer::Layer::Layer_SubtractionLayer);
+}
+
fb::Offset<serializer::LayerBase> SerializerVisitor::CreateLayerBase(const IConnectableLayer* layer,
const serializer::LayerType layerType)
{
diff --git a/src/armnnSerializer/Serializer.hpp b/src/armnnSerializer/Serializer.hpp
index bbc67d49da..b6f5974265 100644
--- a/src/armnnSerializer/Serializer.hpp
+++ b/src/armnnSerializer/Serializer.hpp
@@ -146,6 +146,9 @@ public:
void VisitNormalizationLayer(const armnn::IConnectableLayer* layer,
const armnn::NormalizationDescriptor& normalizationDescriptor,
const char* name = nullptr) override;
+
+ void VisitSubtractionLayer(const armnn::IConnectableLayer* layer,
+ const char* name = nullptr) override;
private:
/// Creates the Input Slots and Output Slots and LayerBase for the layer.
diff --git a/src/armnnSerializer/SerializerSupport.md b/src/armnnSerializer/SerializerSupport.md
index 6071c9c4e8..141a6faa45 100644
--- a/src/armnnSerializer/SerializerSupport.md
+++ b/src/armnnSerializer/SerializerSupport.md
@@ -30,5 +30,6 @@ The Arm NN SDK Serializer currently supports the following layers:
* Rsqrt
* Softmax
* SpaceToBatchNd
+* Subtraction
More machine learning layers will be supported in future releases.
diff --git a/src/armnnSerializer/test/SerializerTests.cpp b/src/armnnSerializer/test/SerializerTests.cpp
index ad6676edc7..572ee80011 100644
--- a/src/armnnSerializer/test/SerializerTests.cpp
+++ b/src/armnnSerializer/test/SerializerTests.cpp
@@ -1250,4 +1250,44 @@ BOOST_AUTO_TEST_CASE(SerializeDeserializeResizeBilinear)
{outputTensorInfo.GetShape()});
}
+BOOST_AUTO_TEST_CASE(SerializeDeserializeSubtraction)
+{
+ class VerifySubtractionName : public armnn::LayerVisitorBase<armnn::VisitorNoThrowPolicy>
+ {
+ public:
+ void VisitSubtractionLayer(const armnn::IConnectableLayer*, const char* name) override
+ {
+ BOOST_TEST(name == "subtraction");
+ }
+ };
+
+ const armnn::TensorInfo info = armnn::TensorInfo({ 1, 4 }, armnn::DataType::Float32);
+
+ armnn::INetworkPtr network = armnn::INetwork::Create();
+ armnn::IConnectableLayer* const inputLayer0 = network->AddInputLayer(0);
+ armnn::IConnectableLayer* const inputLayer1 = network->AddInputLayer(1);
+ armnn::IConnectableLayer* const subtractionLayer = network->AddSubtractionLayer("subtraction");
+ armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0);
+
+ inputLayer0->GetOutputSlot(0).Connect(subtractionLayer->GetInputSlot(0));
+ inputLayer1->GetOutputSlot(0).Connect(subtractionLayer->GetInputSlot(1));
+ subtractionLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0));
+
+ inputLayer0->GetOutputSlot(0).SetTensorInfo(info);
+ inputLayer1->GetOutputSlot(0).SetTensorInfo(info);
+ subtractionLayer->GetOutputSlot(0).SetTensorInfo(info);
+
+ armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network));
+ BOOST_CHECK(deserializedNetwork);
+
+ VerifySubtractionName nameChecker;
+ deserializedNetwork->Accept(nameChecker);
+
+ CheckDeserializedNetworkAgainstOriginal(*network,
+ *deserializedNetwork,
+ {info.GetShape(), info.GetShape()},
+ {info.GetShape()},
+ {0, 1});
+}
+
BOOST_AUTO_TEST_SUITE_END()