ArmNN
 24.02
QuantizeLayer.cpp
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1 //
2 // Copyright © 2019-2023 Arm Ltd and Contributors. All rights reserved.
3 // SPDX-License-Identifier: MIT
4 //
5 
6 #include "QuantizeLayer.hpp"
7 
8 #include "LayerCloneBase.hpp"
9 
10 namespace armnn
11 {
12 
14 : Layer(1, 1, LayerType::Quantize, name)
15 {}
16 
17 std::unique_ptr<IWorkload> QuantizeLayer::CreateWorkload(const IWorkloadFactory& factory) const
18 {
19  QuantizeQueueDescriptor descriptor;
20  SetAdditionalInfo(descriptor);
21 
22  WorkloadInfo info = PrepInfoAndDesc(descriptor);
23 
24  return factory.CreateWorkload(LayerType::Quantize, descriptor, info);
25 }
26 
28 {
29  QuantizeLayer* clone = CloneBase<QuantizeLayer>(graph, GetName());
30  return clone;
31 }
32 
34 {
36 
37  const TensorShape& outputShape = GetOutputSlot(0).GetTensorInfo().GetShape();
38 
40 
41  auto inferredShapes = InferOutputShapes({ GetInputSlot(0).GetTensorInfo().GetShape() });
42 
43  ValidateAndCopyShape(outputShape, inferredShapes[0], m_ShapeInferenceMethod, "QuantizeLayer");
44 }
45 
47 {
48  strategy.ExecuteStrategy(this, GetParameters(), {}, GetName());
49 }
50 
51 } //namespace armnn
armnn::QuantizeLayer::Clone
Layer * Clone(Graph &graph) const override
Creates a dynamically-allocated copy of this layer.
Definition: QuantizeLayer.cpp:27
armnn::OutputSlot::GetTensorInfo
const TensorInfo & GetTensorInfo() const override
Definition: Layer.cpp:92
armnn::QuantizeQueueDescriptor
Definition: WorkloadData.hpp:299
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:435
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
armnn::QuantizeLayer::QuantizeLayer
QuantizeLayer(const char *name)
Definition: QuantizeLayer.cpp:13
armnn::Layer::GetName
const char * GetName() const override
Returns the name of the layer.
Definition: Layer.hpp:332
armnn::Layer
Definition: Layer.hpp:230
armnn::InputSlot::GetTensorInfo
const TensorInfo & GetTensorInfo() const override
Gets the TensorInfo for this InputSlot.
Definition: Layer.cpp:592
armnn::TensorShape
Definition: Tensor.hpp:20
armnn::WorkloadInfo
Contains information about TensorInfos of a layer.
Definition: WorkloadInfo.hpp:16
armnn::Layer::PrepInfoAndDesc
WorkloadInfo PrepInfoAndDesc(QueueDescriptor &descriptor) const
Helper function to reduce duplication in *Layer::CreateWorkload.
Definition: Layer.hpp:409
armnn::IWorkloadFactory
Definition: WorkloadFactory.hpp:22
armnn::LayerType::Quantize
@ Quantize
armnn::Layer::VerifyShapeInferenceType
void VerifyShapeInferenceType(const TensorShape &outputShape, ShapeInferenceMethod shapeInferenceMethod)
Definition: Layer.cpp:504
armnn::Layer::SetAdditionalInfo
void SetAdditionalInfo(QueueDescriptor &descriptor) const
Definition: Layer.cpp:287
armnn::Quantize
QuantizedType Quantize(float value, float scale, int32_t offset)
Quantize a floating point data type into an 8-bit data type.
Definition: TypesUtils.cpp:30
armnn::QuantizeLayer
Definition: QuantizeLayer.hpp:16
armnn::BoostLogSeverityMapping::info
@ info
armnn::QuantizeLayer::CreateWorkload
virtual std::unique_ptr< IWorkload > CreateWorkload(const IWorkloadFactory &factory) const override
Definition: QuantizeLayer.cpp:17
armnn::Layer::GetParameters
virtual const BaseDescriptor & GetParameters() const override
If the layer has a descriptor return it.
Definition: Layer.hpp:378
armnn::TensorInfo::GetShape
const TensorShape & GetShape() const
Definition: Tensor.hpp:193
armnn::QuantizeLayer::ValidateTensorShapesFromInputs
void ValidateTensorShapesFromInputs() override
Definition: QuantizeLayer.cpp:33
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:410
QuantizeLayer.hpp
armnn::Layer::VerifyLayerConnections
void VerifyLayerConnections(unsigned int expectedConnections, const CheckLocation &location) const
Definition: Layer.cpp:391
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.
armnn::IStrategy::ExecuteStrategy
virtual void ExecuteStrategy(const IConnectableLayer *layer, const armnn::BaseDescriptor &descriptor, const std::vector< armnn::ConstTensor > &constants, const char *name, const armnn::LayerBindingId id=0)=0
armnn::QuantizeLayer::ExecuteStrategy
void ExecuteStrategy(IStrategy &strategy) const override
Apply a visitor to this layer.
Definition: QuantizeLayer.cpp:46
LayerCloneBase.hpp