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authorAron Virginas-Tar <Aron.Virginas-Tar@arm.com>2019-09-20 10:42:02 +0100
committerÁron Virginás-Tar <aron.virginas-tar@arm.com>2019-09-20 15:12:12 +0000
commitda9d2d34ae57e18f631d4b42ad694a1d48270fe7 (patch)
tree0ff4050d85e55503c6a3b8dc75c9b25f324cf57a
parent8a1b2184f7261eba82ad8346a3ec8bb7d5800f57 (diff)
downloadarmnn-da9d2d34ae57e18f631d4b42ad694a1d48270fe7.tar.gz
IVGCVSW-3886 Add serialization support for DepthToSpace
Signed-off-by: Aron Virginas-Tar <Aron.Virginas-Tar@arm.com> Change-Id: Id80c1bcbf50715f07a92dad08d554518a283cc28
-rw-r--r--src/armnnDeserializer/Deserializer.cpp29
-rw-r--r--src/armnnDeserializer/Deserializer.hpp1
-rw-r--r--src/armnnDeserializer/DeserializerSupport.md1
-rw-r--r--src/armnnSerializer/ArmnnSchema.fbs16
-rw-r--r--src/armnnSerializer/Serializer.cpp9
-rw-r--r--src/armnnSerializer/SerializerSupport.md1
-rw-r--r--src/armnnSerializer/test/SerializerTests.cpp57
7 files changed, 111 insertions, 3 deletions
diff --git a/src/armnnDeserializer/Deserializer.cpp b/src/armnnDeserializer/Deserializer.cpp
index 1c4d86cf34..d887357ef1 100644
--- a/src/armnnDeserializer/Deserializer.cpp
+++ b/src/armnnDeserializer/Deserializer.cpp
@@ -194,6 +194,7 @@ m_ParserFunctions(Layer_MAX+1, &Deserializer::ParseUnsupportedLayer)
m_ParserFunctions[Layer_ConcatLayer] = &Deserializer::ParseConcat;
m_ParserFunctions[Layer_ConstantLayer] = &Deserializer::ParseConstant;
m_ParserFunctions[Layer_Convolution2dLayer] = &Deserializer::ParseConvolution2d;
+ m_ParserFunctions[Layer_DepthToSpaceLayer] = &Deserializer::ParseDepthToSpace;
m_ParserFunctions[Layer_DepthwiseConvolution2dLayer] = &Deserializer::ParseDepthwiseConvolution2d;
m_ParserFunctions[Layer_DequantizeLayer] = &Deserializer::ParseDequantize;
m_ParserFunctions[Layer_DetectionPostProcessLayer] = &Deserializer::ParseDetectionPostProcess;
@@ -258,6 +259,8 @@ Deserializer::LayerBaseRawPtr Deserializer::GetBaseLayer(const GraphPtr& graphPt
return graphPtr->layers()->Get(layerIndex)->layer_as_ConstantLayer()->base();
case Layer::Layer_Convolution2dLayer:
return graphPtr->layers()->Get(layerIndex)->layer_as_Convolution2dLayer()->base();
+ case Layer::Layer_DepthToSpaceLayer:
+ return graphPtr->layers()->Get(layerIndex)->layer_as_DepthToSpaceLayer()->base();
case Layer::Layer_DepthwiseConvolution2dLayer:
return graphPtr->layers()->Get(layerIndex)->layer_as_DepthwiseConvolution2dLayer()->base();
case Layer::Layer_DequantizeLayer:
@@ -1115,6 +1118,32 @@ void Deserializer::ParseConvolution2d(GraphPtr graph, unsigned int layerIndex)
RegisterOutputSlots(graph, layerIndex, layer);
}
+void Deserializer::ParseDepthToSpace(GraphPtr graph, unsigned int layerIndex)
+{
+ CHECK_LAYERS(graph, 0, layerIndex);
+
+ auto inputs = GetInputs(graph, layerIndex);
+ CHECK_VALID_SIZE(inputs.size(), 1);
+
+ auto outputs = GetOutputs(graph, layerIndex);
+ CHECK_VALID_SIZE(outputs.size(), 1);
+
+ auto fbDescriptor = graph->layers()->Get(layerIndex)->layer_as_DepthToSpaceLayer()->descriptor();
+
+ armnn::DepthToSpaceDescriptor descriptor;
+ descriptor.m_BlockSize = fbDescriptor->blockSize();
+ descriptor.m_DataLayout = ToDataLayout(fbDescriptor->dataLayout());
+
+ auto layerName = GetLayerName(graph, layerIndex);
+ IConnectableLayer* layer = m_Network->AddDepthToSpaceLayer(descriptor, layerName.c_str());
+
+ armnn::TensorInfo outputInfo = ToTensorInfo(outputs[0]);
+ layer->GetOutputSlot(0).SetTensorInfo(outputInfo);
+
+ RegisterInputSlots(graph, layerIndex, layer);
+ RegisterOutputSlots(graph, layerIndex, layer);
+}
+
void Deserializer::ParseDepthwiseConvolution2d(GraphPtr graph, unsigned int layerIndex)
{
CHECK_LAYERS(graph, 0, layerIndex);
diff --git a/src/armnnDeserializer/Deserializer.hpp b/src/armnnDeserializer/Deserializer.hpp
index 30af024f5e..0e2a34fc80 100644
--- a/src/armnnDeserializer/Deserializer.hpp
+++ b/src/armnnDeserializer/Deserializer.hpp
@@ -86,6 +86,7 @@ private:
void ParseConcat(GraphPtr graph, unsigned int layerIndex);
void ParseConstant(GraphPtr graph, unsigned int layerIndex);
void ParseConvolution2d(GraphPtr graph, unsigned int layerIndex);
+ void ParseDepthToSpace(GraphPtr graph, unsigned int layerIndex);
void ParseDepthwiseConvolution2d(GraphPtr graph, unsigned int layerIndex);
void ParseDequantize(GraphPtr graph, unsigned int layerIndex);
void ParseDetectionPostProcess(GraphPtr graph, unsigned int layerIndex);
diff --git a/src/armnnDeserializer/DeserializerSupport.md b/src/armnnDeserializer/DeserializerSupport.md
index 46bf92eadd..78ae51675f 100644
--- a/src/armnnDeserializer/DeserializerSupport.md
+++ b/src/armnnDeserializer/DeserializerSupport.md
@@ -15,6 +15,7 @@ The Arm NN SDK Deserialize parser currently supports the following layers:
* Concat
* Constant
* Convolution2d
+* DepthToSpace
* DepthwiseConvolution2d
* Dequantize
* DetectionPostProcess
diff --git a/src/armnnSerializer/ArmnnSchema.fbs b/src/armnnSerializer/ArmnnSchema.fbs
index 6b07510a21..6450d16ca8 100644
--- a/src/armnnSerializer/ArmnnSchema.fbs
+++ b/src/armnnSerializer/ArmnnSchema.fbs
@@ -140,7 +140,8 @@ enum LayerType : uint {
QuantizedLstm = 45,
Abs = 46,
ArgMinMax = 47,
- Slice = 48
+ Slice = 48,
+ DepthToSpace = 49
}
// Base layer table to be used as part of other layers
@@ -213,6 +214,16 @@ table Convolution2dDescriptor {
dataLayout:DataLayout = NCHW;
}
+table DepthToSpaceLayer {
+ base:LayerBase;
+ descriptor:DepthToSpaceDescriptor;
+}
+
+table DepthToSpaceDescriptor {
+ blockSize:uint;
+ dataLayout:DataLayout;
+}
+
table DivisionLayer {
base:LayerBase;
}
@@ -722,7 +733,8 @@ union Layer {
StackLayer,
AbsLayer,
ArgMinMaxLayer,
- SliceLayer
+ SliceLayer,
+ DepthToSpaceLayer
}
table AnyLayer {
diff --git a/src/armnnSerializer/Serializer.cpp b/src/armnnSerializer/Serializer.cpp
index f07805cb38..99ba7e3c13 100644
--- a/src/armnnSerializer/Serializer.cpp
+++ b/src/armnnSerializer/Serializer.cpp
@@ -303,7 +303,14 @@ void SerializerVisitor::VisitDepthToSpaceLayer(const armnn::IConnectableLayer* l
const armnn::DepthToSpaceDescriptor& descriptor,
const char* name)
{
- throw UnimplementedException("SerializerVisitor::VisitDepthToSpaceLayer is not implemented");
+ auto fbBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_DepthToSpace);
+ auto fbDescriptor = CreateDepthToSpaceDescriptor(m_flatBufferBuilder,
+ descriptor.m_BlockSize,
+ GetFlatBufferDataLayout(descriptor.m_DataLayout));
+
+ auto fbLayer = serializer::CreateDepthToSpaceLayer(m_flatBufferBuilder, fbBaseLayer, fbDescriptor);
+
+ CreateAnyLayer(fbLayer.o, serializer::Layer::Layer_DepthToSpaceLayer);
}
void SerializerVisitor::VisitDepthwiseConvolution2dLayer(const armnn::IConnectableLayer* layer,
diff --git a/src/armnnSerializer/SerializerSupport.md b/src/armnnSerializer/SerializerSupport.md
index 136998c3f2..cc9e59a762 100644
--- a/src/armnnSerializer/SerializerSupport.md
+++ b/src/armnnSerializer/SerializerSupport.md
@@ -15,6 +15,7 @@ The Arm NN SDK Serializer currently supports the following layers:
* Concat
* Constant
* Convolution2d
+* DepthToSpace
* DepthwiseConvolution2d
* Dequantize
* DetectionPostProcess
diff --git a/src/armnnSerializer/test/SerializerTests.cpp b/src/armnnSerializer/test/SerializerTests.cpp
index d4ad6236b4..dfa98acbcd 100644
--- a/src/armnnSerializer/test/SerializerTests.cpp
+++ b/src/armnnSerializer/test/SerializerTests.cpp
@@ -658,6 +658,63 @@ BOOST_AUTO_TEST_CASE(SerializeConvolution2d)
deserializedNetwork->Accept(verifier);
}
+BOOST_AUTO_TEST_CASE(SerializeDepthToSpace)
+{
+ class DepthToSpaceLayerVerifier : public LayerVerifierBase
+ {
+ public:
+ DepthToSpaceLayerVerifier(const std::string& layerName,
+ const std::vector<armnn::TensorInfo>& inputInfos,
+ const std::vector<armnn::TensorInfo>& outputInfos,
+ const armnn::DepthToSpaceDescriptor& descriptor)
+ : LayerVerifierBase(layerName, inputInfos, outputInfos)
+ , m_Descriptor(descriptor) {}
+
+ void VisitDepthToSpaceLayer(const armnn::IConnectableLayer* layer,
+ const armnn::DepthToSpaceDescriptor& descriptor,
+ const char* name) override
+ {
+ VerifyNameAndConnections(layer, name);
+ VerifyDescriptor(descriptor);
+ }
+
+ private:
+ void VerifyDescriptor(const armnn::DepthToSpaceDescriptor& descriptor)
+ {
+ BOOST_TEST(descriptor.m_BlockSize == m_Descriptor.m_BlockSize);
+ BOOST_TEST(GetDataLayoutName(descriptor.m_DataLayout) == GetDataLayoutName(m_Descriptor.m_DataLayout));
+ }
+
+ armnn::DepthToSpaceDescriptor m_Descriptor;
+ };
+
+ const std::string layerName("depthToSpace");
+
+ const armnn::TensorInfo inputInfo ({ 1, 8, 4, 12 }, armnn::DataType::Float32);
+ const armnn::TensorInfo outputInfo({ 1, 16, 8, 3 }, armnn::DataType::Float32);
+
+ armnn::DepthToSpaceDescriptor desc;
+ desc.m_BlockSize = 2;
+ desc.m_DataLayout = armnn::DataLayout::NHWC;
+
+ armnn::INetworkPtr network = armnn::INetwork::Create();
+ armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0);
+ armnn::IConnectableLayer* const depthToSpaceLayer = network->AddDepthToSpaceLayer(desc, layerName.c_str());
+ armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0);
+
+ inputLayer->GetOutputSlot(0).Connect(depthToSpaceLayer->GetInputSlot(0));
+ depthToSpaceLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0));
+
+ inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo);
+ depthToSpaceLayer->GetOutputSlot(0).SetTensorInfo(outputInfo);
+
+ armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network));
+ BOOST_CHECK(deserializedNetwork);
+
+ DepthToSpaceLayerVerifier verifier(layerName, {inputInfo}, {outputInfo}, desc);
+ deserializedNetwork->Accept(verifier);
+}
+
BOOST_AUTO_TEST_CASE(SerializeDepthwiseConvolution2d)
{
class DepthwiseConvolution2dLayerVerifier : public LayerVerifierBase