patch/21.02/_dequantize_layer_8cpp_source.xhtml

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

 #include "LayerCloneBase.hpp"

 #include <backendsCommon/WorkloadData.hpp>
 #include <backendsCommon/WorkloadFactory.hpp>

 namespace armnn
 {

 DequantizeLayer::DequantizeLayer(const char* name)
     : Layer(1, 1, LayerType::Dequantize, name)
 {}

 std::unique_ptr<IWorkload> DequantizeLayer::CreateWorkload(
                                                            const IWorkloadFactory& factory) const
 {
     DequantizeQueueDescriptor descriptor;
     SetAdditionalInfo(descriptor);

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

 DequantizeLayer* DequantizeLayer::Clone(Graph& graph) const
 {
     return CloneBase<DequantizeLayer>(graph, GetName());
 }

 void DequantizeLayer::ValidateTensorShapesFromInputs()
 {
     VerifyLayerConnections(1, CHECK_LOCATION());

     const TensorShape& outputShape = GetOutputSlot(0).GetTensorInfo().GetShape();

     VerifyShapeInferenceType(outputShape, m_ShapeInferenceMethod);

     std::vector<TensorShape> inferredShapes = InferOutputShapes({
         GetInputSlot(0).GetConnection()->GetTensorInfo().GetShape() });

     ARMNN_ASSERT(inferredShapes.size() == 1);

     ValidateAndCopyShape(outputShape, inferredShapes[0], m_ShapeInferenceMethod, "DequantizeLayer");
 }

 void DequantizeLayer::Accept(ILayerVisitor& visitor) const
 {
     visitor.VisitDequantizeLayer(this, GetName());
 }

 } // namespace armnn
WorkloadData.hpp

+armnn::Dequantize
float Dequantize(QuantizedType value, float scale, int32_t offset)
Dequantize an 8-bit data type into a floating point data type.
Definition: TypesUtils.cpp:46

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

+armnn::Layer::InferOutputShapes
std::vector< TensorShape > InferOutputShapes(const std::vector< TensorShape > &inputShapes) const override
Infer the shape of the output(s) based on the provided input shape(s)
Definition: Layer.cpp:367

+armnn::DequantizeLayer::CreateWorkload
virtual std::unique_ptr< IWorkload > CreateWorkload(const IWorkloadFactory &factory) const override
Makes a workload for the Dequantize type.
Definition: DequantizeLayer.cpp:19

+WorkloadFactory.hpp

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

+armnn::DequantizeLayer::Clone
DequantizeLayer * Clone(Graph &graph) const override
Creates a dynamically-allocated copy of this layer.
Definition: DequantizeLayer.cpp:28

+armnn::Layer::VerifyShapeInferenceType
void VerifyShapeInferenceType(const TensorShape &outputShape, ShapeInferenceMethod shapeInferenceMethod)
Definition: Layer.cpp:432

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

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

+armnn::InputSlot::GetConnection
const IOutputSlot * GetConnection() const override
Definition: Layer.hpp:199

+armnn::Layer::ValidateAndCopyShape
void ValidateAndCopyShape(const TensorShape &outputShape, const TensorShape &inferredShape, const ShapeInferenceMethod shapeInferenceMethod, const std::string &layerName, const unsigned int outputSlotIndex=0)
Definition: Layer.cpp:392

+armnn::Layer::VerifyLayerConnections
void VerifyLayerConnections(unsigned int expectedConnections, const CheckLocation &location) const
Definition: Layer.cpp:348

+armnn::DequantizeLayer::DequantizeLayer
DequantizeLayer(const char *name)
Constructor to create a DequantizeLayer.
Definition: DequantizeLayer.cpp:15

+armnn::Layer::GetInputSlot
const InputSlot & GetInputSlot(unsigned int index) const override
Get a const input slot handle by slot index.
Definition: Layer.hpp:316

+armnn::DequantizeLayer
This layer dequantizes the input tensor.
Definition: DequantizeLayer.hpp:13

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

+ARMNN_ASSERT
#define ARMNN_ASSERT(COND)
Definition: Assert.hpp:14

+CHECK_LOCATION
#define CHECK_LOCATION()
Definition: Exceptions.hpp:197

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

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

+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::ILayerVisitor::VisitDequantizeLayer
virtual void VisitDequantizeLayer(const IConnectableLayer *layer, const char *name=nullptr)=0
Function that a Dequantize layer should call back to when its Accept(ILayerVisitor&) function is invo...

+armnn::IOutputSlot::GetTensorInfo
virtual const TensorInfo & GetTensorInfo() const =0

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

+DequantizeLayer.hpp

+armnn::DequantizeQueueDescriptor
Definition: WorkloadData.hpp:514

+armnn::DequantizeLayer::Accept
void Accept(ILayerVisitor &visitor) const override
Apply a visitor to this layer.
Definition: DequantizeLayer.cpp:49

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

+armnn::DequantizeLayer::ValidateTensorShapesFromInputs
void ValidateTensorShapesFromInputs() override
Check if the input tensor shape(s) will lead to a valid configuration of DequantizeLayer.
Definition: DequantizeLayer.cpp:33

+armnn::Layer::m_ShapeInferenceMethod
ShapeInferenceMethod m_ShapeInferenceMethod
Definition: Layer.hpp:408

+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:419

+armnn::IWorkloadFactory::CreateDequantize
virtual std::unique_ptr< IWorkload > CreateDequantize(const DequantizeQueueDescriptor &descriptor, const WorkloadInfo &info) const
Definition: WorkloadFactory.cpp:1392

+