patch/21.05/_constant_layer_8cpp_source.xhtml

 //
 // Copyright © 2017 Arm Ltd and Contributors. All rights reserved.
 // SPDX-License-Identifier: MIT
 //
 #include "ConstantLayer.hpp"
 #include "LayerCloneBase.hpp"

 #include <armnn/TypesUtils.hpp>
 #include <backendsCommon/TensorHandle.hpp>
 #include <backendsCommon/WorkloadData.hpp>
 #include <backendsCommon/WorkloadFactory.hpp>

 namespace armnn
 {

 ConstantLayer::ConstantLayer(const char* name)
     : Layer(0, 1, LayerType::Constant, name)
 {
 }

 std::unique_ptr<IWorkload> ConstantLayer::CreateWorkload(const IWorkloadFactory& factory) const
 {
     ConstantQueueDescriptor descriptor;
     descriptor.m_LayerOutput = m_LayerOutput.get();
     SetAdditionalInfo(descriptor);

     return factory.CreateConstant(descriptor, PrepInfoAndDesc(descriptor));
 }

 ConstantLayer* ConstantLayer::Clone(Graph& graph) const
 {
     // Cloned layers share the same layer output object.
     auto layer = CloneBase<ConstantLayer>(graph, GetName());

     layer->m_LayerOutput = m_LayerOutput ? m_LayerOutput : nullptr;

     return std::move(layer);
 }

 std::vector<TensorShape> ConstantLayer::InferOutputShapes(const std::vector<TensorShape>& inputShapes) const
 {
     return std::vector<TensorShape>({  inputShapes[0] });
 }

 void ConstantLayer::ValidateTensorShapesFromInputs()
 {

     // Get the output shape from the value of the constant layer.
     TensorShape const& outShape = m_LayerOutput->GetTensorInfo().GetShape();

     ConditionalThrow<LayerValidationException>(
             outShape.GetDimensionality() != Dimensionality::NotSpecified,
             "Constant layer m_LayerOutput output shape can not be Dimensionality::NotSpecified");

     ConditionalThrow<LayerValidationException>(
             outShape.AreAllDimensionsSpecified(),
             "Constant layer m_LayerOutput output shape can not have an unspecified dimension");

     ConditionalThrowIfNotEqual<LayerValidationException>(
                "ConstantLayer: TensorShape set on OutputSlot[0] does not match the inferred shape.",
                GetOutputSlot(0).GetTensorInfo().GetShape(),
                outShape);
 }

 void ConstantLayer::Accept(ILayerVisitor& visitor) const
 {
     ManagedConstTensorHandle managedLayerOutput(m_LayerOutput);
     ConstTensor layerOutputTensor(managedLayerOutput.GetTensorInfo(), managedLayerOutput.Map());
     visitor.VisitConstantLayer(this, layerOutputTensor, GetName());
 }

 void ConstantLayer::ExecuteStrategy(IStrategy& strategy) const
 {
     ManagedConstTensorHandle managedLayerOutput(m_LayerOutput);
     ConstTensor layerOutputTensor(managedLayerOutput.GetTensorInfo(), managedLayerOutput.Map());
     strategy.ExecuteStrategy(this, BaseDescriptor(), { layerOutputTensor }, GetName());
 }

 } // namespace armnn
armnn::ConstantLayer
A layer that the constant data can be bound to.
Definition: ConstantLayer.hpp:15

+armnn::ConstantLayer::CreateWorkload
virtual std::unique_ptr< IWorkload > CreateWorkload(const IWorkloadFactory &factory) const override
Makes a workload for the Constant type.
Definition: ConstantLayer.cpp:21

+WorkloadData.hpp

+armnn::TensorInfo::GetShape
const TensorShape & GetShape() const
Definition: Tensor.hpp:187

+armnn::Dimensionality::NotSpecified

+armnn::ConstantQueueDescriptor::m_LayerOutput
const ConstTensorHandle * m_LayerOutput
Definition: WorkloadData.hpp:367

+armnn::ConstantQueueDescriptor
Definition: WorkloadData.hpp:360

+armnn::TensorShape::AreAllDimensionsSpecified
bool AreAllDimensionsSpecified() const
Checks if there is at least one dimension not specified.
Definition: Tensor.cpp:241

+TensorHandle.hpp

+WorkloadFactory.hpp

+armnn::IWorkloadFactory
Definition: WorkloadFactory.hpp:22

+armnn::ConstantLayer::Accept
void Accept(ILayerVisitor &visitor) const override
Apply a visitor to this layer.
Definition: ConstantLayer.cpp:65

+armnn::ConstantLayer::m_LayerOutput
std::shared_ptr< ConstTensorHandle > m_LayerOutput
Definition: ConstantLayer.hpp:46

+armnn::TensorShape::GetDimensionality
Dimensionality GetDimensionality() const
Function that returns the tensor type.
Definition: Tensor.hpp:92

+armnn::IStrategy::ExecuteStrategy
virtual void ExecuteStrategy(const armnn::IConnectableLayer *layer, const armnn::BaseDescriptor &descriptor, const std::vector< armnn::ConstTensor > &constants, const char *name, const armnn::LayerBindingId id=0)=0

+armnn::ConstantLayer::ValidateTensorShapesFromInputs
void ValidateTensorShapesFromInputs() override
Check if the input tensor shape(s) will lead to a valid configuration of ConstantLayer.
Definition: ConstantLayer.cpp:45

+armnn::IWorkloadFactory::CreateConstant
virtual std::unique_ptr< IWorkload > CreateConstant(const ConstantQueueDescriptor &descriptor, const WorkloadInfo &info) const
Definition: WorkloadFactory.cpp:1376

+armnn::ConstantLayer::ExecuteStrategy
void ExecuteStrategy(IStrategy &strategy) const override
Apply a visitor to this layer.
Definition: ConstantLayer.cpp:72

+armnn::ConstantLayer::InferOutputShapes
std::vector< TensorShape > InferOutputShapes(const std::vector< TensorShape > &inputShapes) const override
By default returns inputShapes if the number of inputs are equal to number of outputs, otherwise infers the output shapes from given input shapes and layer properties.
Definition: ConstantLayer.cpp:40

+armnn::ManagedConstTensorHandle::GetTensorInfo
const TensorInfo & GetTensorInfo() const
Definition: TensorHandle.hpp:230

+armnn
Copyright (c) 2021 ARM Limited and Contributors.
Definition: 01_00_software_tools.dox:6

+armnn::TensorShape
Definition: Tensor.hpp:20

+ConstantLayer.hpp

+armnn::BaseDescriptor
Base class for all descriptors.
Definition: Descriptors.hpp:22

+armnn::IStrategy
Definition: IStrategy.hpp:13

+TypesUtils.hpp

+armnn::Layer::PrepInfoAndDesc
WorkloadInfo PrepInfoAndDesc(QueueDescriptor &descriptor) const
Helper function to reduce duplication in *LayerCreateWorkload.
Definition: Layer.hpp:381

+armnn::ConstantLayer::Clone
ConstantLayer * Clone(Graph &graph) const override
Creates a dynamically-allocated copy of this layer.
Definition: ConstantLayer.cpp:30

+armnn::ILayerVisitor::VisitConstantLayer
virtual void VisitConstantLayer(const IConnectableLayer *layer, const ConstTensor &input, const char *name=nullptr)=0
Function a layer with no inputs and a single output, which always corresponds to the passed in consta...

+armnn::ConstTensor
A tensor defined by a TensorInfo (shape and data type) and an immutable backing store.
Definition: Tensor.hpp:314

+armnn::Graph
Definition: Graph.hpp:29

+armnn::Layer::SetAdditionalInfo
void SetAdditionalInfo(QueueDescriptor &descriptor) const
Definition: Layer.cpp:245

+armnn::LayerType::Constant

+armnn::ConstantLayer::ConstantLayer
ConstantLayer(const char *name)
Constructor to create a ConstantLayer.
Definition: ConstantLayer.cpp:16

+armnn::ManagedConstTensorHandle
Definition: TensorHandle.hpp:178

+armnn::ILayerVisitor
Definition: ILayerVisitor.hpp:16

+armnn::Layer::GetOutputSlot
const OutputSlot & GetOutputSlot(unsigned int index=0) const override
Get the const output slot handle by slot index.
Definition: Layer.hpp:318

+armnn::Layer::GetName
const char * GetName() const override
Returns the name of the layer.
Definition: Layer.hpp:311

+armnn::ManagedConstTensorHandle::Map
const void * Map(bool blocking=true)
RAII Managed resource Unmaps MemoryArea once out of scope.
Definition: TensorHandle.hpp:187

+armnn::OutputSlot::GetTensorInfo
const TensorInfo & GetTensorInfo() const override
Definition: Layer.cpp:63

+armnn::Layer
Definition: Layer.hpp:210

+LayerCloneBase.hpp

+armnn::LayerType
LayerType
When adding a new layer, adapt also the LastLayer enum value in the enum class LayerType below...
Definition: Types.hpp:455

+