ArmNN
 24.08
DequantizeLayer.cpp
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1 //
2 // Copyright © 2017,2019-2024 Arm Ltd and Contributors. All rights reserved.
3 // SPDX-License-Identifier: MIT
4 //
5 #include "DequantizeLayer.hpp"
6 
7 #include "LayerCloneBase.hpp"
8 
11 
12 namespace armnn
13 {
14 
16  : Layer(1, 1, LayerType::Dequantize, name)
17 {}
18 
19 std::unique_ptr<IWorkload> DequantizeLayer::CreateWorkload(
20  const IWorkloadFactory& factory) const
21 {
22  DequantizeQueueDescriptor descriptor;
23  SetAdditionalInfo(descriptor);
24 
25  return factory.CreateWorkload(LayerType::Dequantize, descriptor, PrepInfoAndDesc(descriptor));
26 }
27 
29 {
30  return CloneBase<DequantizeLayer>(graph, GetName());
31 }
32 
34 {
36 
37  const TensorShape& outputShape = GetOutputSlot(0).GetTensorInfo().GetShape();
38 
40 
41  std::vector<TensorShape> inferredShapes = InferOutputShapes({
43 
44  if (inferredShapes.size() != 1)
45  {
46  throw armnn::LayerValidationException("inferredShapes has "
47  + std::to_string(inferredShapes.size()) +
48  " elements - should only have 1.");
49  }
50 
51  ValidateAndCopyShape(outputShape, inferredShapes[0], m_ShapeInferenceMethod, "DequantizeLayer");
52 }
53 
55 {
56  strategy.ExecuteStrategy(this, GetParameters(), {}, GetName());
57 }
58 
59 } // namespace armnn
armnn::OutputSlot::GetTensorInfo
const TensorInfo & GetTensorInfo() const override
Definition: Layer.cpp:100
WorkloadData.hpp
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::DequantizeLayer::ExecuteStrategy
void ExecuteStrategy(IStrategy &strategy) const override
Apply a visitor to this layer.
Definition: DequantizeLayer.cpp:54
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::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:614
armnn::TensorShape
Definition: Tensor.hpp:20
armnn::DequantizeLayer::Clone
DequantizeLayer * Clone(Graph &graph) const override
Creates a dynamically-allocated copy of this layer.
Definition: DequantizeLayer.cpp:28
armnn::Layer::PrepInfoAndDesc
WorkloadInfo PrepInfoAndDesc(QueueDescriptor &descriptor) const
Helper function to reduce duplication in *Layer::CreateWorkload.
Definition: Layer.hpp:409
armnn::LayerValidationException
Definition: Exceptions.hpp:105
armnn::IWorkloadFactory
Definition: WorkloadFactory.hpp:22
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:48
armnn::Layer::VerifyShapeInferenceType
void VerifyShapeInferenceType(const TensorShape &outputShape, ShapeInferenceMethod shapeInferenceMethod)
Definition: Layer.cpp:526
armnn::DequantizeLayer
This layer dequantizes the input tensor.
Definition: DequantizeLayer.hpp:13
armnn::Layer::SetAdditionalInfo
void SetAdditionalInfo(QueueDescriptor &descriptor) const
Definition: Layer.cpp:303
armnn::Layer::GetParameters
virtual const BaseDescriptor & GetParameters() const override
If the layer has a descriptor return it.
Definition: Layer.hpp:378
armnn::DequantizeLayer::DequantizeLayer
DequantizeLayer(const char *name)
Constructor to create a DequantizeLayer.
Definition: DequantizeLayer.cpp:15
DequantizeLayer.hpp
armnn::TensorInfo::GetShape
const TensorShape & GetShape() const
Definition: Tensor.hpp:193
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::DequantizeQueueDescriptor
Definition: WorkloadData.hpp:524
armnn::Layer::VerifyLayerConnections
void VerifyLayerConnections(unsigned int expectedConnections, const CheckLocation &location) const
Definition: Layer.cpp:410
armnn::LayerType::Dequantize
@ Dequantize
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
LayerCloneBase.hpp
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