ArmNN
 24.08
FakeQuantizationLayer.cpp
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1 //
2 // Copyright © 2017-2024 Arm Ltd and Contributors. All rights reserved.
3 // SPDX-License-Identifier: MIT
4 //
6 
7 #include "LayerCloneBase.hpp"
8 
9 #include <armnn/TypesUtils.hpp>
12 
13 namespace armnn
14 {
15 
17 : LayerWithParameters(1, 1, LayerType::FakeQuantization, param, name)
18 {
19 }
20 
21 std::unique_ptr<IWorkload> FakeQuantizationLayer::CreateWorkload(const IWorkloadFactory& factory) const
22 {
24  SetAdditionalInfo(descriptor);
25 
26  return factory.CreateWorkload(LayerType::FakeQuantization, descriptor, PrepInfoAndDesc(descriptor) );
27 }
28 
30 {
31  return CloneBase<FakeQuantizationLayer>(graph, m_Param, GetName());
32 }
33 
35 {
37 
38  const TensorShape& outputShape = GetOutputSlot(0).GetTensorInfo().GetShape();
39 
41 
42  auto inferredShapes = InferOutputShapes({ GetInputSlot(0).GetTensorInfo().GetShape() });
43 
44  if (inferredShapes.size() != 1)
45  {
46  throw armnn::Exception("inferredShapes has "
47  + std::to_string(inferredShapes.size()) +
48  " elements - should only have 1.");
49  }
50 
51  ValidateAndCopyShape(outputShape, inferredShapes[0], m_ShapeInferenceMethod, "FakeQuantizationLayer");
52 }
53 
55 {
56  IgnoreUnused(strategy);
57  throw armnn::Exception("FakeQuantizationLayer should not appear in an input graph");
58 }
59 
60 } // namespace armnn
armnn::OutputSlot::GetTensorInfo
const TensorInfo & GetTensorInfo() const override
Definition: Layer.cpp:100
WorkloadData.hpp
armnn::FakeQuantizationLayer
This layer represents a fake quantization operation.
Definition: FakeQuantizationLayer.hpp:13
armnn::FakeQuantizationQueueDescriptor
Definition: WorkloadData.hpp:339
TypesUtils.hpp
CHECK_LOCATION
#define CHECK_LOCATION()
Definition: Exceptions.hpp:203
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:457
armnn::Layer::GetOutputSlot
const OutputSlot & GetOutputSlot(unsigned int index=0) const override
Get the const output slot handle by slot index.
Definition: Layer.hpp:339
armnn::IStrategy
Definition: IStrategy.hpp:16
armnn::Layer::GetInputSlot
const InputSlot & GetInputSlot(unsigned int index) const override
Get a const input slot handle by slot index.
Definition: Layer.hpp:337
WorkloadFactory.hpp
armnn::LayerWithParameters
Definition: LayerWithParameters.hpp:14
armnn::Layer::GetName
const char * GetName() const override
Returns the name of the layer.
Definition: Layer.hpp:332
armnn::InputSlot::GetTensorInfo
const TensorInfo & GetTensorInfo() const override
Gets the TensorInfo for this InputSlot.
Definition: Layer.cpp:614
armnn::FakeQuantizationLayer::ValidateTensorShapesFromInputs
void ValidateTensorShapesFromInputs() override
Check if the input tensor shape(s) will lead to a valid configuration of FakeQuantizationLayer.
Definition: FakeQuantizationLayer.cpp:34
armnn::TensorShape
Definition: Tensor.hpp:20
armnn::LayerWithParameters< FakeQuantizationDescriptor >::m_Param
FakeQuantizationDescriptor m_Param
The parameters for the layer (not including tensor-valued weights etc.).
Definition: LayerWithParameters.hpp:52
armnn::LayerWithParameters< FakeQuantizationDescriptor >::PrepInfoAndDesc
WorkloadInfo PrepInfoAndDesc(QueueDescriptor &descriptor) const
Helper function to reduce duplication in *Layer::CreateWorkload.
Definition: LayerWithParameters.hpp:44
armnn::IWorkloadFactory
Definition: WorkloadFactory.hpp:22
armnn::FakeQuantizationLayer::Clone
FakeQuantizationLayer * Clone(Graph &graph) const override
Creates a dynamically-allocated copy of this layer.
Definition: FakeQuantizationLayer.cpp:29
armnn::Layer::VerifyShapeInferenceType
void VerifyShapeInferenceType(const TensorShape &outputShape, ShapeInferenceMethod shapeInferenceMethod)
Definition: Layer.cpp:526
armnn::Layer::SetAdditionalInfo
void SetAdditionalInfo(QueueDescriptor &descriptor) const
Definition: Layer.cpp:303
armnn::Exception
Base class for all ArmNN exceptions so that users can filter to just those.
Definition: Exceptions.hpp:46
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::FakeQuantizationLayer::FakeQuantizationLayer
FakeQuantizationLayer(const FakeQuantizationDescriptor &descriptor, const char *name)
Constructor to create a FakeQuantizationLayer.
Definition: FakeQuantizationLayer.cpp:16
armnn::FakeQuantizationLayer::ExecuteStrategy
void ExecuteStrategy(IStrategy &strategy) const override
Apply a visitor to this layer.
Definition: FakeQuantizationLayer.cpp:54
armnn::TensorInfo::GetShape
const TensorShape & GetShape() const
Definition: Tensor.hpp:193
armnn::IgnoreUnused
void IgnoreUnused(Ts &&...)
Definition: IgnoreUnused.hpp:14
armnn::FakeQuantization
void FakeQuantization(const float *inputData, float *outputData, uint32_t numElements, float min, float max)
Definition: RefFakeQuantizationFloat32Workload.cpp:17
armnn
Copyright (c) 2021 ARM Limited and Contributors.
Definition: 01_00_quick_start.dox:6
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:432
armnn::Layer::VerifyLayerConnections
void VerifyLayerConnections(unsigned int expectedConnections, const CheckLocation &location) const
Definition: Layer.cpp:410
armnn::LayerType::FakeQuantization
@ FakeQuantization
armnn::FakeQuantizationDescriptor
A FakeQuantizationDescriptor for the FakeQuantizationLayer.
Definition: Descriptors.hpp:906
armnn::Layer::m_ShapeInferenceMethod
ShapeInferenceMethod m_ShapeInferenceMethod
Definition: Layer.hpp:441
armnn::LayerType
LayerType
When adding a new layer, adapt also the LastLayer enum value in the enum class LayerType below.
Definition: Types.hpp:491
armnn::Graph
Definition: Graph.hpp:30
armnn::IWorkloadFactory::CreateWorkload
virtual std::unique_ptr< IWorkload > CreateWorkload(LayerType type, const QueueDescriptor &descriptor, const WorkloadInfo &info) const =0
Backends should implement their own CreateWorkload function with a switch statement.
FakeQuantizationLayer.hpp
LayerCloneBase.hpp