patch/20.02/_fake_quantization_layer_8cpp_source.xhtml

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

 #include "LayerCloneBase.hpp"

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

 namespace armnn
 {

 FakeQuantizationLayer::FakeQuantizationLayer(const FakeQuantizationDescriptor& param, const char* name)
 : LayerWithParameters(1, 1, LayerType::FakeQuantization, param, name)
 {
 }

 std::unique_ptr<IWorkload> FakeQuantizationLayer::CreateWorkload(const IWorkloadFactory& factory) const
 {
     FakeQuantizationQueueDescriptor descriptor;
     return factory.CreateFakeQuantization(descriptor, PrepInfoAndDesc(descriptor) );
 }

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

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

     auto inferredShapes = InferOutputShapes({ GetInputSlot(0).GetConnection()->GetTensorInfo().GetShape() });

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

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

 void FakeQuantizationLayer::Accept(ILayerVisitor& visitor) const
 {
     IgnoreUnused(visitor);
     throw armnn::Exception("FakeQuantizationLayer should not appear in an input graph");
 }

 } // namespace armnn
WorkloadData.hpp

+armnn::LayerWithParameters< FakeQuantizationDescriptor >::m_Param
FakeQuantizationDescriptor m_Param
The parameters for the layer (not including tensor-valued weights etc.).
Definition: LayerWithParameters.hpp:50

+armnn::TensorInfo::GetShape
const TensorShape & GetShape() const
Definition: Tensor.hpp:88

+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:371

+WorkloadFactory.hpp

+armnn::IWorkloadFactory
Definition: WorkloadFactory.hpp:21

+armnn::FakeQuantizationLayer::Accept
void Accept(ILayerVisitor &visitor) const override
Apply a visitor to this layer.
Definition: FakeQuantizationLayer.cpp:46

+armnn::FakeQuantizationLayer::ValidateTensorShapesFromInputs
void ValidateTensorShapesFromInputs() override
Check if the input tensor shape(s) will lead to a valid configuration of FakeQuantizationLayer.
Definition: FakeQuantizationLayer.cpp:32

+armnn::IWorkloadFactory::CreateFakeQuantization
virtual std::unique_ptr< IWorkload > CreateFakeQuantization(const FakeQuantizationQueueDescriptor &descriptor, const WorkloadInfo &info) const
Definition: WorkloadFactory.cpp:1213

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

+armnn
Copyright (c) 2020 ARM Limited.
Definition: 00_introduction.dox:25

+armnn::IgnoreUnused
void IgnoreUnused(Ts &&...)
Definition: IgnoreUnused.hpp:14

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

+armnn::FakeQuantization
void FakeQuantization(const float *inputData, float *outputData, uint32_t numElements, float min, float max)
Definition: RefFakeQuantizationFloat32Workload.cpp:17

+armnn::Layer::VerifyLayerConnections
void VerifyLayerConnections(unsigned int expectedConnections, const CheckLocation &location) const
Definition: Layer.cpp:338

+armnn::FakeQuantizationLayer::Clone
FakeQuantizationLayer * Clone(Graph &graph) const override
Creates a dynamically-allocated copy of this layer.
Definition: FakeQuantizationLayer.cpp:27

+armnn::Layer::GetInputSlot
const InputSlot & GetInputSlot(unsigned int index) const override
Get a const input slot handle by slot index.
Definition: Layer.hpp:310

+TypesUtils.hpp

+armnn::FakeQuantizationQueueDescriptor
Definition: WorkloadData.hpp:297

+armnn::FakeQuantizationDescriptor
A FakeQuantizationDescriptor for the FakeQuantizationLayer.
Definition: Descriptors.hpp:688

+armnn::FakeQuantizationLayer
This layer represents a fake quantization operation.
Definition: FakeQuantizationLayer.hpp:13

+CHECK_LOCATION
#define CHECK_LOCATION()
Definition: Exceptions.hpp:192

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

+FakeQuantizationLayer.hpp

+armnn::Exception
Base class for all ArmNN exceptions so that users can filter to just those.
Definition: Exceptions.hpp:46

+armnn::LayerWithParameters< FakeQuantizationDescriptor >::PrepInfoAndDesc
WorkloadInfo PrepInfoAndDesc(QueueDescriptor &descriptor) const
Helper function to reduce duplication in *LayerCreateWorkload.
Definition: LayerWithParameters.hpp:43

+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:312

+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:305

+armnn::LayerWithParameters
Definition: LayerWithParameters.hpp:13

+armnn::FakeQuantizationLayer::FakeQuantizationLayer
FakeQuantizationLayer(const FakeQuantizationDescriptor &descriptor, const char *name)
Constructor to create a FakeQuantizationLayer.
Definition: FakeQuantizationLayer.cpp:16

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

+LayerCloneBase.hpp

+armnn::LayerType
LayerType
Definition: InternalTypes.hpp:14

+