src/armnn/layers/GatherLayer.cpp \
src/armnn/layers/GreaterLayer.cpp \
src/armnn/layers/InputLayer.cpp \
+ src/armnn/layers/InstanceNormalizationLayer.cpp \
src/armnn/layers/L2NormalizationLayer.cpp \
src/armnn/layers/LstmLayer.cpp \
src/armnn/layers/MaximumLayer.cpp \
src/armnn/layers/GreaterLayer.hpp
src/armnn/layers/InputLayer.hpp
src/armnn/layers/InputLayer.cpp
+ src/armnn/layers/InstanceNormalizationLayer.hpp
+ src/armnn/layers/InstanceNormalizationLayer.cpp
src/armnn/layers/L2NormalizationLayer.hpp
src/armnn/layers/L2NormalizationLayer.cpp
src/armnn/layers/LstmLayer.cpp
DataLayout m_DataLayout;
};
+/// An InstanceNormalizationDescriptor for InstanceNormalizationLayer
+struct InstanceNormalizationDescriptor
+{
+ InstanceNormalizationDescriptor()
+ : m_Gamma(1.0f)
+ , m_Beta(0.0f)
+ , m_Eps(1e-12f)
+ , m_DataLayout(DataLayout::NCHW)
+ {}
+
+ /// Gamma, the scale scalar value applied for the normalized tensor. Defaults to 1.0.
+ float m_Gamma;
+ /// Beta, the offset scalar value applied for the normalized tensor. Defaults to 1.0.
+ float m_Beta;
+ /// Epsilon, small scalar value added to variance to avoid dividing by zero. Defaults to 1e-12f.
+ float m_Eps;
+ /// The data layout to be used (NCHW, NHWC).
+ DataLayout m_DataLayout;
+};
+
/// A BatchToSpaceNdDescriptor for the BatchToSpaceNdLayer.
struct BatchToSpaceNdDescriptor
{
struct DetectionPostProcessDescriptor;
struct FakeQuantizationDescriptor;
struct FullyConnectedDescriptor;
+struct InstanceNormalizationDescriptor;
struct L2NormalizationDescriptor;
struct LstmDescriptor;
struct MeanDescriptor;
virtual bool IsInputSupported(const TensorInfo& input,
Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const = 0;
+ virtual bool IsInstanceNormalizationSupported(
+ const TensorInfo& input,
+ const TensorInfo& output,
+ const InstanceNormalizationDescriptor& descriptor,
+ Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const = 0;
+
virtual bool IsL2NormalizationSupported(const TensorInfo& input,
const TensorInfo& output,
const L2NormalizationDescriptor& descriptor,
LayerBindingId id,
const char* name = nullptr) = 0;
+ /// Function that an instance normalization layer should call back to when its Accept(ILayerVisitor&)
+ /// function is invoked.
+ /// @param layer - pointer to the layer which is calling back to this visit function.
+ /// @param desc - Parameters for the instance normalization operation.
+ /// @param name - Optional name for the layer.
+ virtual void VisitInstanceNormalizationLayer(const IConnectableLayer* layer,
+ const InstanceNormalizationDescriptor& desc,
+ const char* name = nullptr) = 0;
/// Function that an L2 normalization layer should call back to when its Accept(ILayerVisitor&)
/// function is invoked. Normalization is performed along dimension 1, but requires a 4d input.
virtual IConnectableLayer* AddResizeLayer(const ResizeDescriptor& resizeDescriptor,
const char* name = nullptr) = 0;
+ /// Adds an instance normalization layer to the network.
+ /// @param desc - Parameters for the instance normalization operation.
+ /// @param name - Optional name for the layer.
+ /// @return - Interface for configuring the layer.
+ virtual IConnectableLayer* AddInstanceNormalizationLayer(const InstanceNormalizationDescriptor& desc,
+ const char* name = nullptr) = 0;
+
/// Adds an L2 normalization layer to the network.
/// Normalization is performed along dimension 1, but requires a 4d input.
/// @param desc - Parameters for the L2 normalization operation.
LayerBindingId,
const char*) override { DefaultPolicy::Apply(__func__); }
+ void VisitInstanceNormalizationLayer(const IConnectableLayer*,
+ const InstanceNormalizationDescriptor&,
+ const char*) override { DefaultPolicy::Apply(__func__); }
+
void VisitL2NormalizationLayer(const IConnectableLayer*,
const L2NormalizationDescriptor&,
const char*) override { DefaultPolicy::Apply(__func__); }
case LayerType::Gather: return "Gather";
case LayerType::Greater: return "Greater";
case LayerType::Input: return "Input";
+ case LayerType::InstanceNormalization: return "InstanceNormalization";
case LayerType::L2Normalization: return "L2Normalization";
case LayerType::Lstm: return "Lstm";
case LayerType::Maximum: return "Maximum";
Gather,
Greater,
Input,
+ InstanceNormalization,
L2Normalization,
Lstm,
Maximum,
#include "layers/GatherLayer.hpp"
#include "layers/GreaterLayer.hpp"
#include "layers/InputLayer.hpp"
+#include "layers/InstanceNormalizationLayer.hpp"
#include "layers/L2NormalizationLayer.hpp"
#include "layers/LstmLayer.hpp"
#include "layers/MaximumLayer.hpp"
DECLARE_LAYER(Gather)
DECLARE_LAYER(Greater)
DECLARE_LAYER(Input)
+DECLARE_LAYER(InstanceNormalization)
DECLARE_LAYER(L2Normalization)
DECLARE_LAYER(Lstm)
DECLARE_LAYER(Maximum)
return m_Graph->AddLayer<ResizeLayer>(resizeDescriptor, name);
}
+IConnectableLayer* Network::AddInstanceNormalizationLayer(const InstanceNormalizationDescriptor& desc,
+ const char* name)
+{
+ return m_Graph->AddLayer<InstanceNormalizationLayer>(desc, name);
+}
+
IConnectableLayer* Network::AddL2NormalizationLayer(const L2NormalizationDescriptor& desc,
const char* name)
{
IConnectableLayer* AddResizeLayer(const ResizeDescriptor& resizeDescriptor,
const char* name = nullptr) override;
+ IConnectableLayer* AddInstanceNormalizationLayer(const InstanceNormalizationDescriptor& desc,
+ const char* name = nullptr) override;
+
IConnectableLayer* AddL2NormalizationLayer(const L2NormalizationDescriptor& desc,
const char* name = nullptr) override;
--- /dev/null
+//
+// Copyright © 2019 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+#include "InstanceNormalizationLayer.hpp"
+
+#include "LayerCloneBase.hpp"
+
+#include <armnn/TypesUtils.hpp>
+#include <backendsCommon/WorkloadData.hpp>
+#include <backendsCommon/WorkloadFactory.hpp>
+
+namespace armnn
+{
+
+InstanceNormalizationLayer::InstanceNormalizationLayer(const InstanceNormalizationDescriptor& param, const char* name)
+ : LayerWithParameters(1, 1, LayerType::InstanceNormalization, param, name)
+{
+}
+
+std::unique_ptr<IWorkload> InstanceNormalizationLayer::CreateWorkload(const Graph& graph,
+ const IWorkloadFactory& factory) const
+{
+ InstanceNormalizationQueueDescriptor descriptor;
+ return factory.CreateInstanceNormalization(descriptor, PrepInfoAndDesc(descriptor, graph));
+}
+
+InstanceNormalizationLayer* InstanceNormalizationLayer::Clone(Graph& graph) const
+{
+ return CloneBase<InstanceNormalizationLayer>(graph, m_Param, GetName());
+}
+
+void InstanceNormalizationLayer::ValidateTensorShapesFromInputs()
+{
+ VerifyLayerConnections(1, CHECK_LOCATION());
+
+ auto inferredShapes = InferOutputShapes({ GetInputSlot(0).GetConnection()->GetTensorInfo().GetShape() });
+
+ BOOST_ASSERT(inferredShapes.size() == 1);
+
+ ConditionalThrowIfNotEqual<LayerValidationException>(
+ "InstanceNormalizationLayer: TensorShape set on OutputSlot[0] does not match the inferred shape.",
+ GetOutputSlot(0).GetTensorInfo().GetShape(),
+ inferredShapes[0]);
+}
+
+void InstanceNormalizationLayer::Accept(ILayerVisitor& visitor) const
+{
+ visitor.VisitInstanceNormalizationLayer(this, GetParameters(), GetName());
+}
+
+} // namespace armnn
--- /dev/null
+//
+// Copyright © 2019 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+#pragma once
+
+#include "LayerWithParameters.hpp"
+
+namespace armnn
+{
+
+/// This layer represents an instance normalization operation.
+class InstanceNormalizationLayer : public LayerWithParameters<InstanceNormalizationDescriptor>
+{
+public:
+ /// Makes a workload for the InstanceNormalization type.
+ /// @param [in] graph The graph where this layer can be found.
+ /// @param [in] factory The workload factory which will create the workload.
+ /// @return A pointer to the created workload, or nullptr if not created.
+ virtual std::unique_ptr<IWorkload> CreateWorkload(const Graph& graph,
+ const IWorkloadFactory& factory) const override;
+
+ /// Creates a dynamically-allocated copy of this layer.
+ /// @param [in] graph The graph into which this layer is being cloned.
+ InstanceNormalizationLayer* Clone(Graph& graph) const override;
+
+ /// Check if the input tensor shape(s)
+ /// will lead to a valid configuration of @ref InstanceNormalizationLayer.
+ void ValidateTensorShapesFromInputs() override;
+
+ void Accept(ILayerVisitor& visitor) const override;
+
+protected:
+ /// Constructor to create a InstanceNormalizationLayer.
+ /// @param [in] param InstanceNormalizationDescriptor to configure the Instance normalization operation.
+ /// @param [in] name Optional name for the layer.
+ InstanceNormalizationLayer(const InstanceNormalizationDescriptor& param, const char* name);
+
+ /// Default destructor
+ ~InstanceNormalizationLayer() = default;
+};
+
+} // namespace
layer->Accept(visitor);
}
+BOOST_AUTO_TEST_CASE(CheckInstanceNormalizationLayerVisitorNameAndDescriptor)
+{
+ const char* layerName = "InstanceNormalizationLayer";
+ InstanceNormalizationDescriptor descriptor;
+ descriptor.m_DataLayout = DataLayout::NHWC;
+ TestInstanceNormalizationLayerVisitor visitor(descriptor, layerName);
+ Network net;
+
+ IConnectableLayer *const layer = net.AddInstanceNormalizationLayer(descriptor, layerName);
+ layer->Accept(visitor);
+}
+
+BOOST_AUTO_TEST_CASE(CheckInstanceNormalizationLayerVisitorNameNullAndDescriptor)
+{
+ InstanceNormalizationDescriptor descriptor;
+ descriptor.m_DataLayout = DataLayout::NHWC;
+ TestInstanceNormalizationLayerVisitor visitor(descriptor);
+ Network net;
+
+ IConnectableLayer *const layer = net.AddInstanceNormalizationLayer(descriptor);
+ layer->Accept(visitor);
+}
+
BOOST_AUTO_TEST_CASE(CheckL2NormalizationLayerVisitorNameAndDescriptor)
{
const char* layerName = "L2NormalizationLayer";
};
};
+class TestInstanceNormalizationLayerVisitor : public TestLayerVisitor
+{
+private:
+ InstanceNormalizationDescriptor m_VisitorDescriptor;
+
+public:
+ explicit TestInstanceNormalizationLayerVisitor(const InstanceNormalizationDescriptor& desc,
+ const char* name = nullptr)
+ : TestLayerVisitor(name)
+ {
+ m_VisitorDescriptor.m_Beta = desc.m_Beta;
+ m_VisitorDescriptor.m_Gamma = desc.m_Gamma;
+ m_VisitorDescriptor.m_Eps = desc.m_Eps;
+ m_VisitorDescriptor.m_DataLayout = desc.m_DataLayout;
+ };
+
+ void CheckDescriptor(const InstanceNormalizationDescriptor& desc)
+ {
+ BOOST_CHECK(desc.m_Beta == m_VisitorDescriptor.m_Beta);
+ BOOST_CHECK(desc.m_Gamma == m_VisitorDescriptor.m_Gamma);
+ BOOST_CHECK(desc.m_Eps == m_VisitorDescriptor.m_Eps);
+ BOOST_CHECK(desc.m_DataLayout == m_VisitorDescriptor.m_DataLayout);
+ }
+
+ void VisitInstanceNormalizationLayer(const IConnectableLayer* layer,
+ const InstanceNormalizationDescriptor& desc,
+ const char* name = nullptr) override
+ {
+ CheckLayerPointer(layer);
+ CheckDescriptor(desc);
+ CheckLayerName(name);
+ };
+};
+
class TestL2NormalizationLayerVisitor : public TestLayerVisitor
{
private:
CreateAnyLayer(fbGreaterLayer.o, serializer::Layer::Layer_GreaterLayer);
}
+void SerializerVisitor::VisitInstanceNormalizationLayer(
+ const armnn::IConnectableLayer* layer,
+ const armnn::InstanceNormalizationDescriptor& instanceNormalizationDescriptor,
+ const char* name)
+{
+ throw UnimplementedException("SerializerVisitor::InstanceNormalizationLayer is not implemented");
+}
+
void SerializerVisitor::VisitL2NormalizationLayer(const armnn::IConnectableLayer* layer,
const armnn::L2NormalizationDescriptor& l2NormalizationDescriptor,
const char* name)
armnn::LayerBindingId id,
const char* name = nullptr) override;
+ void VisitInstanceNormalizationLayer(const armnn::IConnectableLayer* layer,
+ const armnn::InstanceNormalizationDescriptor& instanceNormalizationDescriptor,
+ const char* name = nullptr) override;
+
void VisitL2NormalizationLayer(const armnn::IConnectableLayer* layer,
const armnn::L2NormalizationDescriptor& l2NormalizationDescriptor,
const char* name = nullptr) override;
return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
}
+bool LayerSupportBase::IsInstanceNormalizationSupported(const TensorInfo& input,
+ const TensorInfo& output,
+ const InstanceNormalizationDescriptor& descriptor,
+ Optional<std::string&> reasonIfUnsupported) const
+{
+ return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
+}
+
bool LayerSupportBase::IsL2NormalizationSupported(const TensorInfo& input,
const TensorInfo& output,
const L2NormalizationDescriptor& descriptor,
bool IsInputSupported(const TensorInfo& input,
Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;
+ bool IsInstanceNormalizationSupported(
+ const TensorInfo& input,
+ const TensorInfo& output,
+ const InstanceNormalizationDescriptor& descriptor,
+ Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;
+
bool IsL2NormalizationSupported(const TensorInfo& input,
const TensorInfo& output,
const L2NormalizationDescriptor& descriptor,
}
}
+void InstanceNormalizationQueueDescriptor::Validate(const WorkloadInfo& workloadInfo) const
+{
+ const std::string descriptorName{"InstanceNormalizationQueueDescriptor"};
+
+ ValidateNumInputs(workloadInfo, descriptorName, 1);
+ ValidateNumOutputs(workloadInfo, descriptorName, 1);
+
+ const TensorInfo& inputTensorInfo = workloadInfo.m_InputTensorInfos[0];
+ const TensorInfo& outputTensorInfo = workloadInfo.m_OutputTensorInfos[0];
+
+ if (inputTensorInfo.GetNumDimensions() > 4)
+ {
+ throw InvalidArgumentException(descriptorName + ": Input tensors with rank greater than 4 are not supported.");
+ }
+
+ ValidateTensorShapesMatch(inputTensorInfo, outputTensorInfo, descriptorName, "input", "output");
+
+ // Check the supported data types
+ std::vector<DataType> supportedTypes =
+ {
+ DataType::Float32,
+ DataType::Float16
+ };
+
+ ValidateDataTypes(inputTensorInfo, supportedTypes, descriptorName);
+ ValidateDataTypes(outputTensorInfo, supportedTypes, descriptorName);
+
+ ValidateTensorDataTypesMatch(inputTensorInfo, outputTensorInfo, descriptorName, "input", "output");
+
+ ValidatePointer(m_Beta, descriptorName, "beta");
+ ValidatePointer(m_Eps, descriptorName, "epsilon");
+ ValidatePointer(m_Gamma, descriptorName, "gamma");
+
+ const TensorInfo& beta = m_Beta->GetTensorInfo();
+ const TensorInfo& epsilon = m_Eps->GetTensorInfo();
+ const TensorInfo& gamma = m_Gamma->GetTensorInfo();
+
+ ValidateTensorNumDimensions(beta, descriptorName, 1, "beta");
+ ValidateTensorNumDimensions(epsilon, descriptorName, 1, "epsilon");
+ ValidateTensorNumDimensions(gamma, descriptorName, 1, "gamma");
+
+ ValidateTensorDataTypesMatch(inputTensorInfo, beta, descriptorName, "input", "beta");
+ ValidateTensorDataTypesMatch(inputTensorInfo, epsilon, descriptorName, "input", "epsilon");
+ ValidateTensorDataTypesMatch(inputTensorInfo, gamma, descriptorName, "input", "gamma");
+}
+
void L2NormalizationQueueDescriptor::Validate(const WorkloadInfo& workloadInfo) const
{
const std::string descriptorName{"L2NormalizationQueueDescriptor"};
void Validate(const WorkloadInfo& workloadInfo) const;
};
+struct InstanceNormalizationQueueDescriptor : QueueDescriptorWithParameters<InstanceNormalizationDescriptor>
+{
+ InstanceNormalizationQueueDescriptor()
+ : m_Beta(nullptr)
+ , m_Eps(nullptr)
+ , m_Gamma(nullptr)
+ {
+ }
+
+ const ConstCpuTensorHandle* m_Beta;
+ const ConstCpuTensorHandle* m_Eps;
+ const ConstCpuTensorHandle* m_Gamma;
+ void Validate(const WorkloadInfo& workloadInfo) const;
+};
+
struct L2NormalizationQueueDescriptor : QueueDescriptorWithParameters<L2NormalizationDescriptor>
{
void Validate(const WorkloadInfo& workloadInfo) const;
result = layerSupportObject->IsInputSupported(OverrideDataType(input, dataType), reason);
break;
}
+ case LayerType::InstanceNormalization:
+ {
+ auto cLayer = boost::polymorphic_downcast<const InstanceNormalizationLayer*>(&layer);
+ const InstanceNormalizationDescriptor& descriptor = cLayer->GetParameters();
+
+ const TensorInfo& input = layer.GetInputSlot(0).GetConnection()->GetTensorInfo();
+ const TensorInfo& output = layer.GetOutputSlot(0).GetTensorInfo();
+
+ result = layerSupportObject->IsInstanceNormalizationSupported(
+ OverrideDataType(input, dataType),
+ OverrideDataType(output, dataType),
+ descriptor,
+ reason);
+ break;
+ }
case LayerType::L2Normalization:
{
auto cLayer = boost::polymorphic_downcast<const L2NormalizationLayer*>(&layer);
return std::unique_ptr<IWorkload>();
}
+std::unique_ptr<IWorkload> IWorkloadFactory::CreateInstanceNormalization(
+ const InstanceNormalizationQueueDescriptor& descriptor,
+ const WorkloadInfo& info) const
+{
+ return std::unique_ptr<IWorkload>();
+}
+
std::unique_ptr<IWorkload> IWorkloadFactory::CreateL2Normalization(const L2NormalizationQueueDescriptor& descriptor,
const WorkloadInfo& info) const
{
virtual std::unique_ptr<IWorkload> CreateGreater(const GreaterQueueDescriptor& descriptor,
const WorkloadInfo& info) const;
+ virtual std::unique_ptr<IWorkload> CreateInstanceNormalization(
+ const InstanceNormalizationQueueDescriptor& descriptor,
+ const WorkloadInfo& info) const;
+
virtual std::unique_ptr<IWorkload> CreateL2Normalization(const L2NormalizationQueueDescriptor& descriptor,
const WorkloadInfo& info) const;
DECLARE_LAYER_POLICY_CUSTOM_PARAM(Input, armnn::LayerBindingId)
+DECLARE_LAYER_POLICY_2_PARAM(InstanceNormalization)
+
DECLARE_LAYER_POLICY_2_PARAM(L2Normalization)
DECLARE_LAYER_POLICY_2_PARAM(Lstm)